Instructions to use nclgbd/medsiglip-448-pneumonia-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nclgbd/medsiglip-448-pneumonia-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nclgbd/medsiglip-448-pneumonia-finetune") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("nclgbd/medsiglip-448-pneumonia-finetune") model = AutoModelForImageClassification.from_pretrained("nclgbd/medsiglip-448-pneumonia-finetune") - Notebooks
- Google Colab
- Kaggle
File size: 741 Bytes
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"added_tokens_decoder": {
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"special": true
},
"2": {
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"lstrip": true,
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"rstrip": true,
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},
"additional_special_tokens": [],
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"do_lower_case": true,
"eos_token": "</s>",
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"model_input_names": [
"input_ids"
],
"model_max_length": 64,
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"processor_class": "SiglipProcessor",
"sp_model_kwargs": {},
"tokenizer_class": "SiglipTokenizer",
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}
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