Instructions to use Sami92/XLM-R-Large-ClaimDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sami92/XLM-R-Large-ClaimDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sami92/XLM-R-Large-ClaimDetection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sami92/XLM-R-Large-ClaimDetection") model = AutoModelForSequenceClassification.from_pretrained("Sami92/XLM-R-Large-ClaimDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature5e1ac37
-
Update README.md
Verified signatureaa09ea9 -
Update README.md
Verified signaturedca76bd -
Update README.md
Verified signature1832562 -
Update README.md
Verified signature602b2d0 -
Update README.md
Verified signature1380e35 -
Update README.md
Verified signature49e9598 -
Update README.md
Verified signature22b1557 -
Upload Scores.txt
Verified signature8222392
-
Upload FactualityPrompt_GPT.txt
Verified signatureb556106
-
Update config.json
Verified signaturee6cad32 -
Upload tokenizer
Verified signature1de269d -
Upload XLMRobertaForSequenceClassification
Verified signature539a8ae -
initial commit
Verified signature458c8b5