Instructions to use kejian/final-filter-again with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/final-filter-again with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/final-filter-again") model = AutoModel.from_pretrained("kejian/final-filter-again", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/final-filter-again: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/kejian/final-filter-again/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/final-filter-again/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/final-filter-again/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 7b036fd6179ae034c93a4c89d4f4fe3c7305c5fd1ba93b4cf75d6599780abc91
- Size of remote file:
- 3.45 kB
- SHA256:
- 07648f43e0f90f193a079cf97348acf141999369acff9c9df0c184a90fbe7db2
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