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:
- 653b792164abebfbb55528f63d125a8f2dc87935730cd998dc85b9493e0086fb
- Size of remote file:
- 1.65 kB
- SHA256:
- 1e23f22776362c26fb11a59190d9aac7a5322c3454ee6030281f26769fcdc664
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