Instructions to use ltg/ltg-bert-bnc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/ltg-bert-bnc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/ltg-bert-bnc", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ltg/ltg-bert-bnc", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16437c2c67a0396b2202b9ac451623c6025c1c933d721758edfa4ed634553807
- Size of remote file:
- 418 MB
- SHA256:
- 820ee7f7fdb806b0ce34758331cc6efb0f8b8bc4ba988d507386e5dfd3ef30a1
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