Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_mrpc_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_mrpc_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_mrpc_none_naive", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_mrpc_none_naive", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab002befa628d01fdf93ad02570fe38535c4ec3ab72912fbaa2cb91add11d2d3
- Size of remote file:
- 887 MB
- SHA256:
- 039722ee20ef92e936dd1750e35ba35e84aa3c63b754c9765935e09e4252bca5
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