Instructions to use princeton-nlp/CoFi-RTE-s60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/CoFi-RTE-s60 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="princeton-nlp/CoFi-RTE-s60")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/CoFi-RTE-s60") model = AutoModelForSequenceClassification.from_pretrained("princeton-nlp/CoFi-RTE-s60") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c169af45b7eb3d17ad71de0b6e823639dc1c9f5bf10df12a1e0bc9c3ef144513
- Size of remote file:
- 235 MB
- SHA256:
- 01cabe50595ce7607974c715873766d5d5e7e087c4f0a2138fe27ccbb9efb3dd
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