Instructions to use kejian/mighty-filtering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/mighty-filtering with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/mighty-filtering") model = AutoModel.from_pretrained("kejian/mighty-filtering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/mighty-filtering: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/mighty-filtering/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/mighty-filtering/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/mighty-filtering/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- f6e382b1f628afb1d9e847792e44c4405061119e27d3c46fce43ad94ee4c311c
- Size of remote file:
- 3.39 kB
- SHA256:
- 40cad708c7507df89df2ec79c9ce419cfd16155b7f704fb1616a79698e26a1d8
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