Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_qnli_tf_idf_centroid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use furrutiav/neobert_mixtral_nllfg_rubric_qnli_tf_idf_centroid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="furrutiav/neobert_mixtral_nllfg_rubric_qnli_tf_idf_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_qnli_tf_idf_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49960c35c64e4ceedf147d07206988eed054008da6e8abdf588828704ef77c40
- Size of remote file:
- 887 MB
- SHA256:
- 591585d68e7fd1c8cc257911541a4b221242911800f1d437441b5fabf91c38cc
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