Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_mrpc_none_item 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_none_item 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_none_item", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_mrpc_none_item", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e610bcfbf8aed0fa25112395c348901f7a0372b28f8f7ac93ea963233ac42ddb
- Size of remote file:
- 887 MB
- SHA256:
- 247a253870dce21307642ef52ad73ded5b5dd222bb621517efab835c80e04f43
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