Instructions to use kategaranina/lt2t_content_selection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kategaranina/lt2t_content_selection with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kategaranina/lt2t_content_selection") model = AutoModelForSeq2SeqLM.from_pretrained("kategaranina/lt2t_content_selection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kategaranina/lt2t_content_selection: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/kategaranina/lt2t_content_selection/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kategaranina/lt2t_content_selection/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kategaranina/lt2t_content_selection/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- ae1f8dff61a9b625c89ce0c7772350619e29d6974d2bca489ca91dc712897d5f
- Size of remote file:
- 892 MB
- SHA256:
- 2c08997e357292e65cef648606b264ee0e162e6033a9ce2bd8cafb9371f87023
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