Instructions to use OpenSemShift/bert-c1-en-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenSemShift/bert-c1-en-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenSemShift/bert-c1-en-only")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OpenSemShift/bert-c1-en-only") model = AutoModelForMaskedLM.from_pretrained("OpenSemShift/bert-c1-en-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7177d72cb81aecdab581e38a2d2da91df4f8242c116ce954542b37476340920e
- Size of remote file:
- 714 MB
- SHA256:
- 0787b6d6a628392b2fe5d6b772bacdff236759df5a72ddff2a877b13a0e47196
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