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 training_args.bin from longcld/longdemo: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/longcld/longdemo/resolve/main/training_args.bin
- Command line
-
hf download hf://longcld/longdemo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/longcld/longdemo/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- fa68cb54e4bcc4370d133c536b91ddacccd1717a1a0e598afabc4e28b65b3a9c
- Size of remote file:
- 2.99 kB
- SHA256:
- fc4bf097253d48e3e50eeae826dcec9f6506679b0afa80c0e9c2cf2627503732
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