Instructions to use ebelenwaf/canbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebelenwaf/canbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ebelenwaf/canbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ebelenwaf/canbert") model = AutoModelForMaskedLM.from_pretrained("ebelenwaf/canbert") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Jul16_21-03-44_92c3d9bd1e3d/events.out.tfevents.1658005433.92c3d9bd1e3d.90.3
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