Instructions to use augustinLib/test_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use augustinLib/test_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="augustinLib/test_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("augustinLib/test_bert") model = AutoModelForSequenceClassification.from_pretrained("augustinLib/test_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e219cb82a485958d4607bb9425bafbed3d4701d24be136212999f6a28d1a722b
- Size of remote file:
- 230 MB
- SHA256:
- 9324b6da72e9c9ddb4c87e06ed7757deb51462fa72dc16b0337a3dbc397c889c
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