Instructions to use Amna100/fold_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amna100/fold_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Amna100/fold_4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Amna100/fold_4") model = AutoModelForTokenClassification.from_pretrained("Amna100/fold_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Amna100/fold_4: direct link, hf CLI and curl.
- Browser
- Download file 554 MB
-
https://huggingface.co/Amna100/fold_4/resolve/bca30236d08fb8cd4d1f854b6c94d4ff12ea7174/model.safetensors
- Command line
-
hf download hf://Amna100/fold_4@bca30236d08fb8cd4d1f854b6c94d4ff12ea7174/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Amna100/fold_4/resolve/bca30236d08fb8cd4d1f854b6c94d4ff12ea7174/model.safetensors
554 MB
- Xet hash:
- 40ac3c2537735bbc23bfa4b7218117c3c4b816cca0358a320b89c8c570cbf756
- Size of remote file:
- 554 MB
- SHA256:
- ea6b9838c4981fda81abb4728a6b498d046f2a7f5ec73ec0f3bf1952c85510ed
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