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:
- d5feb0ffbf6c143fa9f1fb25ad24d32177fc075188b5d9de31738d6ebf6738e2
- Size of remote file:
- 334 MB
- SHA256:
- 5aaf82b0d0d91aef1bdcfb7b709d30232894379a8cf4f3ed8d9b1f2398a05902
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