Instructions to use cestwc/roberta-base-bib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cestwc/roberta-base-bib with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cestwc/roberta-base-bib")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cestwc/roberta-base-bib") model = AutoModelForSequenceClassification.from_pretrained("cestwc/roberta-base-bib", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signaturece00167 -
Upload RobertaForSequenceClassification
Verified signature0d7b438
-
Update config.json
Verified signature15451ca -
Update config.json
Verified signature9c7b33f -
Update config.json
Verified signature1c2b015 -
Update config.json
Verified signature3fc6ab8 -
Update config.json
Verified signaturebec7f19 -
Update README.md
Verified signaturedc99ac2 -
Update config.json
Verified signature5dd8485 -
Update README.md
Verified signature8aa6b66 -
Update README.md
Verified signature61e2314 -
Create README.md
Verified signature1c9254b -
Upload tokenizer
Verified signature3ced8ac -
Upload RobertaForSequenceClassification
Verified signaturef9b1448
-
initial commit
Verified signature924293f