Instructions to use Emmytheo/DiagBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emmytheo/DiagBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emmytheo/DiagBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emmytheo/DiagBERT") model = AutoModelForSequenceClassification.from_pretrained("Emmytheo/DiagBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53aa79fbc991431f57e60077b89a5a25c499a87fc2228cdabf97556a74d107cd
- Size of remote file:
- 462 MB
- SHA256:
- 5317e16522341dedb10a9aa2f2f84edce7ead9ef95354fa2f825fb2456011fbf
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