Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_rte_sentence_embd_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_rte_sentence_embd_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_rte_sentence_embd_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_rte_sentence_embd_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29a9e7d99f94d567937b9e850a94d3fb7acbacf1f49ed378a533732ab946882d
- Size of remote file:
- 887 MB
- SHA256:
- 66a1aba3c56df7f7c799c09f1b2c586c1238e68d98415a2daf6fa64b4044b1d6
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