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:
- 7ea6c09adf549f99636eeaf9379d54b7c723f2a0f87e18f8567ecfdf104216b8
- Size of remote file:
- 4.09 kB
- SHA256:
- 6bf84c69fb98f812b35c0ff7bda5f1541b2563ad2cb8ba50c286c7ec724e201b
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