Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_cola_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_cola_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_cola_sentence_embd_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_cola_sentence_embd_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d55b359d8df6ecc50736d88bbb9ab73102ae6d8c3668397005d4a3a2b1c4d871
- Size of remote file:
- 887 MB
- SHA256:
- 28a3844027b026e5d62ae8ea8f304ce5f3c8caa8e96cfcda5b186a9c69fd2da3
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