Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_mrpc_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_mrpc_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_mrpc_sentence_embd_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_mrpc_sentence_embd_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 768eb777e71e265e1b2736f05db2684e965235cd3c55eed42fae501bcf2a5cf3
- Size of remote file:
- 887 MB
- SHA256:
- ee9db381af8f2e97435c70d19006eb1b430e0ec124e20be394162f8f7ea21340
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