Instructions to use artefactory/BERTJudge-Formatted-QCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artefactory/BERTJudge-Formatted-QCR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="artefactory/BERTJudge-Formatted-QCR", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("artefactory/BERTJudge-Formatted-QCR", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("artefactory/BERTJudge-Formatted-QCR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature3599298 -
Update README.md
Verified signature2deb8fb
-
Update README.md
Verified signature357b5b0 -
Update README.md
Verified signaturef46ba4f -
Update README.md
Verified signature0a033e3
-
Update README.md
Verified signature0af2ea1 -
Update README.md
Verified signature1887bca -
Update README.md
Verified signature39e7612
-
Update README.md
Verified signatured2be6b9 -
Update README.md
Verified signature2a6c3bd -
Update README.md
Verified signaturefc6bed9 -
Update README.md
Verified signaturecd8647b -
Create README.md
Verified signature37ffc88
-
Upload folder using huggingface_hub
Verified signature6bb8a1a -
initial commit
Verified signature468a7dc