Instructions to use OpenSemShift/bert-c2-en-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenSemShift/bert-c2-en-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenSemShift/bert-c2-en-only")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OpenSemShift/bert-c2-en-only") model = AutoModelForMaskedLM.from_pretrained("OpenSemShift/bert-c2-en-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13e9c62eefae0eb36b2fdc62e12c8b2b7163c1701526352f75891a5212bd09e4
- Size of remote file:
- 714 MB
- SHA256:
- fa1205b48f2fc7059ac2e026a6eac2e1ded036c46ead9c2a4e00bd61382ae03e
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