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:
- 2c98daf055574725ab845d2efd5807be247dde2bca654c876c3fc16a82d2b4ee
- Size of remote file:
- 1.52 kB
- SHA256:
- 87448ec4b8ee4ac9e15d65baaa6c14db13b5451b785a8a2658c0b00aa36c468c
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