Instructions to use aroot/eng-ind-simcse_longest_sent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aroot/eng-ind-simcse_longest_sent with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aroot/eng-ind-simcse_longest_sent") model = AutoModelForSeq2SeqLM.from_pretrained("aroot/eng-ind-simcse_longest_sent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a658545f540ac50bd63533bb8774ef24e54763f2c3168504a6049aa5251ecd0e
- Size of remote file:
- 2.44 GB
- SHA256:
- 363cc877087db719471888613e8585f82cb71f8a26090076864975617344ad2e
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