Instructions to use chandar-lab/NeoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chandar-lab/NeoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chandar-lab/NeoBERT", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("chandar-lab/NeoBERT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- dd7c95fb3bc86572da5e8abd8a340f8f306e7b6a10101d355686faed30a467be
- Size of remote file:
- 144 kB
- SHA256:
- 675cf306fe2912ea2cab9cb37ab060a1e4a16ab4a7e69d340fd80d27af3148d4
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