Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_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_vanilla_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_vanilla_mrpc_sentence_embd_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_mrpc_sentence_embd_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 162b8c15cb9901e03fc2706aad175c9b4ec198aa696a41a98b23629b0ca00de6
- Size of remote file:
- 887 MB
- SHA256:
- 16c7002c6429137041ac2aeb63bae7ac143d64a71cefbdb199dcb827dc97b90f
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