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Upload gemma-tokenizer-test.ipynb

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+ {
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+ "cells": [
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+ {
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+ "cell_type": "markdown",
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+ "id": "f9427918",
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+ "metadata": {},
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+ "source": [
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+ "## Load original and transformers tokenizers"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "48a7fddf",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from huggingface_hub import hf_hub_download\n",
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+ "\n",
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+ "original_path = hf_hub_download(repo_id=\"google/codegemma-1.1-2b\", filename=\"tokenizer.model\")"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "aae9d9de",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from gemma.tokenizer import Tokenizer\n",
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+ "\n",
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+ "original = Tokenizer(original_path)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 3,
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+ "id": "06b063cf",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from transformers import GemmaTokenizer, AutoTokenizer"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "id": "a584d69f",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "# Fails for \"main\"\n",
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+ "revision = \"refs/pr/4\"\n",
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+ "\n",
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+ "t_fast = AutoTokenizer.from_pretrained(\"google/codegemma-1.1-7b-it\", revision=revision)\n",
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+ "t_slow = GemmaTokenizer.from_pretrained(\"google/codegemma-1.1-7b-it\", revision=revision)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 5,
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+ "id": "72a1c087",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "for s in [\n",
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+ " '<start_of_turn>', '<end_of_turn>', '<mask>',\n",
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+ " '<|fim_prefix|>', '<|fim_suffix|>', '<|fim_middle|>', '<|file_separator|>'\n",
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+ "]:\n",
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+ " encoded = original.encode(s, bos=False, eos=False)\n",
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+ " assert t_fast.encode(s, add_special_tokens=False) == encoded, f\"Failed: {s}\"\n",
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+ " assert t_slow.encode(s, add_special_tokens=False) == encoded, f\"Failed: {s}\"\n",
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+ " assert t_fast.decode(encoded) == s, f\"Failed: {s}\"\n",
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+ " assert t_slow.decode(encoded) == s, f\"Failed: {s}\""
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+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "id": "8ab89d7b",
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+ "metadata": {},
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+ "source": [
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+ "## Verify on XNLI (validation split)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 6,
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+ "id": "0160405a",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from datasets import load_dataset\n",
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+ "from tqdm import tqdm"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 7,
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+ "id": "a743115c",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "xnli = load_dataset(\"xnli\", \"all_languages\", split=\"validation\")"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 8,
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+ "id": "9a52691b",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "def verify(lang, text):\n",
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+ " encoded_original = original.encode(text, bos=True, eos=False)\n",
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+ " encoded_fast = t_fast.encode(text)\n",
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+ " encoded_slow = t_slow.encode(text)\n",
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+ " assert encoded_fast == encoded_original, f\"Fast encode error: {lang} - {text}\"\n",
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+ " assert encoded_slow == encoded_original, f\"Slow encode error: {lang} - {text}\"\n",
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+ " decoded = original.decode(encoded_original)\n",
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+ " decoded_fast = t_fast.decode(encoded_fast, skip_special_tokens=True)\n",
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+ " decoded_slow = t_slow.decode(encoded_slow, skip_special_tokens=True)\n",
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+ " assert decoded_fast == decoded, f\"Fast decode error: {lang} - {text}\"\n",
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+ " assert decoded_slow == decoded, f\"Slow decode error: {lang} - {text}\""
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 9,
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+ "id": "f3123ffd",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 2490/2490 [00:30<00:00, 80.45it/s]\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "for p in tqdm(xnli[\"premise\"]):\n",
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+ " for lang, text in p.items():\n",
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+ " verify(lang, text)"
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+ ]
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.10.12"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }