Instructions to use princeton-nlp/CoFi-RTE-s96 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/CoFi-RTE-s96 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="princeton-nlp/CoFi-RTE-s96")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/CoFi-RTE-s96") model = AutoModelForSequenceClassification.from_pretrained("princeton-nlp/CoFi-RTE-s96") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90607fb7b4041f1f09b273b865ed4401b60cb28a7153742fe573cf45a29e0227
- Size of remote file:
- 113 MB
- SHA256:
- abab7fb083675c103ea334acaccb21e749d4776052f660e5928af4a000ad1ab5
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