Instructions to use yeohany2k/lia-short-seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeohany2k/lia-short-seq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yeohany2k/lia-short-seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yeohany2k/lia-short-seq: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/yeohany2k/lia-short-seq/resolve/main/training_args.bin
- Command line
-
hf download hf://yeohany2k/lia-short-seq/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yeohany2k/lia-short-seq/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- dc74ea4667912f47d6251207ecf4380e8cdc7ea8d70df7f6cb8b6713576b37da
- Size of remote file:
- 5.69 kB
- SHA256:
- 585f373f128ae600adfb24895e3bde7206902adab24e4d6b90c65962fad824f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.