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 training_args.bin from Amna100/fold_4: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Amna100/fold_4/resolve/main/training_args.bin
- Command line
-
hf download hf://Amna100/fold_4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Amna100/fold_4/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 28cec55fa96fd0088b6519b38024df27752ce5f08f38dcb6974f7303f94abe84
- Size of remote file:
- 5.18 kB
- SHA256:
- d70de4fb08cffaa075d1ebb7c529dbe213e92d33abb3d677eece5223685263f2
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