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 checkpoint-5000/optimizer.pt from kejian/final-filter: direct link, hf CLI and curl.
- Browser
- Download file 888 MB
-
https://huggingface.co/kejian/final-filter/resolve/main/checkpoint-5000/optimizer.pt
- Command line
-
hf download hf://kejian/final-filter/checkpoint-5000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kejian/final-filter/resolve/main/checkpoint-5000/optimizer.pt
888 MB
- Xet hash:
- 6f673b133081e55984b3e5fa951918cca03c3e8ca71d33fe6b5c61d22d0834e0
- Size of remote file:
- 888 MB
- SHA256:
- 8c4bf6b119edafc985286e7beb4b0f0276068d3ae48d9131c01c246e99a5d1dd
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