Instructions to use kejian/improved-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/improved-filter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/improved-filter") model = AutoModel.from_pretrained("kejian/improved-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/improved-filter: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/improved-filter/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/improved-filter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/improved-filter/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 818d033e7b671a81bbb17f2563f751cb88c105289bd6510bed17448db2db681d
- Size of remote file:
- 3.39 kB
- SHA256:
- 77729afd98a64a45818c0f0d7fd69b0feebbe1a57b73d3e9e35e77613c34933d
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