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metadata
license: gemma
language:
  - te
base_model: google/gemma-2-9b
library_name: transformers

Gemma2 9B for Telugu: 50 target vocabulary size + Mean target vocabulary initialization + T&B2LS/MTP/512 training

This model is built on top of Gemma2 9B adapted for Telugu using 30K target language sentences sampled from CC-100.

Model Details

  • Vocabulary: This model has an additional 50 target vocabulary.
  • Target vocabulary initialization: The target weights of the embedding were initialized using Mean initialization.
  • Training: This model was additionally pre-trained on 30K target language sentences sampled from CC-100. The training was conducted with the T&B2LS/MTP/512 strategies introduced in the paper.

Model Description

  • Language: Telugu
  • License: Gemma Terms of Use
  • Fine-tuned from model: google/gemma-2-9b

Model Sources

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained(
    "atsuki-yamaguchi/gemma-2-9b-te-30K-50-mean"
)
tokenizer = AutoTokenizer.from_pretrained(
    "atsuki-yamaguchi/gemma-2-9b-te-30K-50-mean"
)