Instructions to use tiagotrindade/bert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagotrindade/bert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tiagotrindade/bert-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tiagotrindade/bert-test") model = AutoModelForSequenceClassification.from_pretrained("tiagotrindade/bert-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 440358738baa296b736d3d419f5442beeb711cb0605e5a02d35f699543a8dc8e
- Size of remote file:
- 433 MB
- SHA256:
- 6d0d5aef8757d3dd91ab75dbd2d15721588b8fd490f105808768ddead5a96934
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