Instructions to use slamos/bc-models-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slamos/bc-models-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="slamos/bc-models-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("slamos/bc-models-bert") model = AutoModelForSequenceClassification.from_pretrained("slamos/bc-models-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad74d5950ab2592188dd318e716f1fbe24327c297e7099dbd06eeb16ee7b9b68
- Size of remote file:
- 439 MB
- SHA256:
- 15fee2f45ebe8d1a2ea55d55962d81c60eb09887dd070668cbffc5a902784259
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