Instructions to use kejian/final-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/final-filter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/final-filter") model = AutoModel.from_pretrained("kejian/final-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/final-filter: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/final-filter/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/final-filter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/final-filter/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 87b45141e81f65f8bcfbdc475cfcbbee747cdb8c28edb50c4be321078344286c
- Size of remote file:
- 3.39 kB
- SHA256:
- e248c68da433e82eb88a0eb70fe2ac070f1b51347d14c389efd436d1a16fc3aa
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