Instructions to use jimregan/BERTreach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimregan/BERTreach with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jimregan/BERTreach")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jimregan/BERTreach") model = AutoModelForMaskedLM.from_pretrained("jimregan/BERTreach") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cc2efa8f7f1fc664af5714786ad7c0d506deabd712f338417f3ffbbb49f07a0
- Size of remote file:
- 336 MB
- SHA256:
- 8141a0912f5a63271aaf2d4f18013dd00beb1c9ee887c01b04eb8e568dde0f83
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