Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_mrpc_sentence_embd_perplexity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use furrutiav/neobert_mixtral_nllfg_rubric_mrpc_sentence_embd_perplexity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="furrutiav/neobert_mixtral_nllfg_rubric_mrpc_sentence_embd_perplexity", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_mrpc_sentence_embd_perplexity", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47c2e7924e7a190eb4d561900af3ceb6aea3d452f159775e3da0556bd3b876f9
- Size of remote file:
- 887 MB
- SHA256:
- d606e343299485127e720e6fcf9bf0fc0340dee3b17e625f4ad70b77af501eb8
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