Instructions to use fav-kky/FERNET-C5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fav-kky/FERNET-C5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fav-kky/FERNET-C5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fav-kky/FERNET-C5") model = AutoModelForMaskedLM.from_pretrained("fav-kky/FERNET-C5", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download .gitattributes from fav-kky/FERNET-C5: direct link, hf CLI and curl.
- Browser
- Download file 791 Bytes
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https://huggingface.co/fav-kky/FERNET-C5/resolve/main/.gitattributes
- Command line
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hf download hf://fav-kky/FERNET-C5/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/fav-kky/FERNET-C5/resolve/main/.gitattributes
791 Bytes
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