Instructions to use Guihss/TypeBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Guihss/TypeBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Guihss/TypeBERT", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Guihss/TypeBERT", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf721a65a365f3b2c93655a1107ca271662a58ef96f7d8b4ca2d81193ebab0fb
- Size of remote file:
- 449 MB
- SHA256:
- a51f16e0417694151ffbea00afe90058d9707f82d0d59d88ed9a64230088f2fd
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