Upload 8 files
Browse files- .gitattributes +1 -0
- README.md +52 -0
- added_tokens.json +3 -0
- generation_config.json +7 -0
- preprocessor_config.json +25 -0
- special_tokens_map.json +39 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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datasets:
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- markury/AndroAtlas
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language:
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- en
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base_model:
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- google/paligemma-3b-mix-448
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pipeline_tag: image-text-to-text
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tags:
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- captioning
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---
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```python
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import torch
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from transformers import PaliGemmaForConditionalGeneration, PaliGemmaProcessor
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from PIL import Image
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def download_model(model_id):
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model = PaliGemmaForConditionalGeneration.from_pretrained(model_id)
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processor = PaliGemmaProcessor.from_pretrained(model_id)
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return model, processor
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def infer(model, processor, image_path, text, max_new_tokens=128):
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = model.to(device)
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model.eval()
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image = Image.open(image_path)
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inputs = processor(text=text, images=image, return_tensors="pt").to(device)
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with torch.inference_mode():
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generated_ids = model.generate(
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**inputs,
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max_new_tokens=max_new_tokens,
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do_sample=False
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)
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result = processor.batch_decode(generated_ids, skip_special_tokens=True)
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return result[0][len(text):].lstrip("\n")
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def main():
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model_id = "prolapse/malensfw-paligemma-fp16"
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model, processor = download_model(model_id)
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image_path = "/path/to/image.png"
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prompt = "describe this photo"
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result = infer(model, processor, image_path, text)
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print(result)
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if __name__ == "__main__":
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main()
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```
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added_tokens.json
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{
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"<image>": 257152
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.42.4"
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}
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preprocessor_config.json
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "SiglipImageProcessor",
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"image_seq_length": 1024,
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "PaliGemmaProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 448,
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"width": 448
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}
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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"content": "<image>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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],
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"bos_token": {
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"content": "<bos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:a15d33625f5a34be43c42d23acc1f26f026c9cd9d6f8ab3d9da05dd2a62e643c
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size 17770231
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:8986bb4f423f07f8c7f70d0dbe3526fb2316056c17bae71b1ea975e77a168fc6
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size 4264023
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tokenizer_config.json
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