Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_qnli_none_naive 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_none_naive 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_none_naive", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_qnli_none_naive", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17835197ec9906cb14c6dd5d825548b43c7cc7b32db98fd3f59f56c75243888c
- Size of remote file:
- 887 MB
- SHA256:
- f29ad888e86fa58e14659fb0851c4ce0887b8fd51f3e0bbab434944cf701ba7e
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