Instructions to use longcld/longdemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/longdemo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/longdemo") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/longdemo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from longcld/longdemo: direct link, hf CLI and curl.
- Browser
- Download file 6.33 GB
-
https://huggingface.co/longcld/longdemo/resolve/main/optimizer.pt
- Command line
-
hf download hf://longcld/longdemo/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/longcld/longdemo/resolve/main/optimizer.pt
6.33 GB
- Xet hash:
- b69f356799c76dcbc8d847dc2f97b36c41cbd7799fdf35239177d87f10b471cc
- Size of remote file:
- 6.33 GB
- SHA256:
- 8f8679d8aee090361db7009bfcc0d41609d80186b6856918743248cc80837c51
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