Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_qnli_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_qnli_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_qnli_sentence_embd_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_qnli_sentence_embd_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afc3c3117a044ddc2f2e2deac4115b2b8b2b9531a210b62c7357ca4f5755589d
- Size of remote file:
- 887 MB
- SHA256:
- 585a11e097292d76e3e6bdb779139edd03ecca74e87ebe4f5ff13cf03eec8f12
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