refactor: app
Browse files- .DS_Store +0 -0
- app.py +18 -31
- dd360-v1-3b/config.json +0 -64
- dd360-v1-3b/generation_config.json +0 -6
- dd360-v1-3b/model.safetensors.index.json +0 -757
- requirements.txt +2 -7
- tokenizer-dd360/added_tokens.json +0 -42
- tokenizer-dd360/merges.txt +0 -0
- tokenizer-dd360/special_tokens_map.json +0 -23
- tokenizer-dd360/tokenizer.json +0 -0
- tokenizer-dd360/tokenizer_config.json +0 -342
- tokenizer-dd360/vocab.json +0 -0
.DS_Store
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Binary files a/.DS_Store and b/.DS_Store differ
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app.py
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from PIL import Image
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import gradio as gr
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"dd360-v1-3b",
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torch_dtype=torch.float32,
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device_map="auto",
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trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained("tokenizer-dd360",torch_dtype=torch.float32)
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def generate_answer(text, image):
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image_tensor = model.image_preprocess(image)
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return tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True).strip()
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image_input = gr.Image(type="pil", label="Upload Image")
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)
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import gradio as gr
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import spaces
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import torch
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from transformers import AutoProcessor, LlavaForConditionalGeneration
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model_id = "llava-hf/llava-1.5-7b-hf"
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prompt_format = "USER: <image>\n{}\nASSISTANT:"
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model = LlavaForConditionalGeneration.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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low_cpu_mem_usage=True,
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).cuda()
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processor = AutoProcessor.from_pretrained(model_id)
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@spaces.GPU
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def inference(text, image):
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prompt = prompt_format.format(text)
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inputs = processor(prompt, image, return_tensors='pt').to(0, torch.float16)
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output = model.generate(**inputs, max_new_tokens=1024)
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return processor.decode(output[0], skip_special_tokens=True).split("ASSISTANT:")[-1]
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gr.Interface(fn=inference, inputs=[gr.Text(), gr.Image()], outputs=gr.Text()).launch()
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dd360-v1-3b/config.json
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{
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"_name_or_path": "MILVLG/imp-v1-3b",
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"activation_function": "gelu_new",
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"architectures": [
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"ImpForCausalLM"
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],
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"attn_pdrop": 0.0,
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"auto_map": {
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"AutoConfig": "MILVLG/imp-v1-3b--configuration_imp.ImpConfig",
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"AutoModelForCausalLM": "MILVLG/imp-v1-3b--modeling_imp.ImpForCausalLM"
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"flash_attn": false,
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"fused_dense": false,
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"image_aspect_ratio": "square",
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"image_token": "<image>",
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"image_token_index": 50296,
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"img_processor": null,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"mm_projector_lr": 2e-05,
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"mm_projector_type": "mlp2x_gelu",
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"mm_use_im_patch_token": false,
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"mm_use_im_start_end": false,
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"mm_vision_select_feature": "patch",
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"mm_vision_select_layer": -2,
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"mm_vision_tower": "google/siglip-so400m-patch14-384",
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"model_type": "imp",
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"n_embd": 2560,
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"n_head": 32,
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"n_head_kv": null,
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"n_inner": null,
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"n_layer": 32,
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"n_positions": 3072,
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"pad_token_id": 50256,
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"resid_pdrop": 0.1,
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"rotary_dim": 32,
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"tie_word_embeddings": false,
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"tokenizer_model_max_length": 3072,
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"tokenizer_padding_side": "right",
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"torch_dtype": "float16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"use_mm_proj": true,
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"vision_tower_config": {
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"attention_dropout": 0.0,
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"attn_implementation": null,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"image_size": 384,
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"intermediate_size": 4304,
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"layer_norm_eps": 1e-06,
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"model_type": "siglip_vision_model",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 27,
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"patch_size": 14
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},
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"vocab_size": 51200
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}
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dd360-v1-3b/generation_config.json
DELETED
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{
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dd360-v1-3b/model.safetensors.index.json
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|
requirements.txt
CHANGED
@@ -1,7 +1,2 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
transformers
|
4 |
-
numpy
|
5 |
-
pillow
|
6 |
-
accelerate
|
7 |
-
einops
|
|
|
1 |
+
transformers==4.37.2
|
2 |
+
accelerate
|
|
|
|
|
|
|
|
|
|
tokenizer-dd360/added_tokens.json
DELETED
@@ -1,42 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"\t\t": 50294,
|
3 |
-
"\t\t\t": 50293,
|
4 |
-
"\t\t\t\t": 50292,
|
5 |
-
"\t\t\t\t\t": 50291,
|
6 |
-
"\t\t\t\t\t\t": 50290,
|
7 |
-
"\t\t\t\t\t\t\t": 50289,
|
8 |
-
"\t\t\t\t\t\t\t\t": 50288,
|
9 |
-
"\t\t\t\t\t\t\t\t\t": 50287,
|
10 |
-
" ": 50286,
|
11 |
-
" ": 50285,
|
12 |
-
" ": 50284,
|
13 |
-
" ": 50283,
|
14 |
-
" ": 50282,
|
15 |
-
" ": 50281,
|
16 |
-
" ": 50280,
|
17 |
-
" ": 50279,
|
18 |
-
" ": 50278,
|
19 |
-
" ": 50277,
|
20 |
-
" ": 50276,
|
21 |
-
" ": 50275,
|
22 |
-
" ": 50274,
|
23 |
-
" ": 50273,
|
24 |
-
" ": 50272,
|
25 |
-
" ": 50271,
|
26 |
-
" ": 50270,
|
27 |
-
" ": 50269,
|
28 |
-
" ": 50268,
|
29 |
-
" ": 50267,
|
30 |
-
" ": 50266,
|
31 |
-
" ": 50265,
|
32 |
-
" ": 50264,
|
33 |
-
" ": 50263,
|
34 |
-
" ": 50262,
|
35 |
-
" ": 50261,
|
36 |
-
" ": 50260,
|
37 |
-
" ": 50259,
|
38 |
-
" ": 50258,
|
39 |
-
" ": 50257,
|
40 |
-
"</s>": 50295,
|
41 |
-
"<image>": 50296
|
42 |
-
}
|
|
|
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tokenizer-dd360/merges.txt
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tokenizer-dd360/special_tokens_map.json
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tokenizer-dd360/vocab.json
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