Instructions to use apperry-ai/fact_extraction_roberta_fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apperry-ai/fact_extraction_roberta_fixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="apperry-ai/fact_extraction_roberta_fixed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("apperry-ai/fact_extraction_roberta_fixed") model = AutoModelForTokenClassification.from_pretrained("apperry-ai/fact_extraction_roberta_fixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload folder using huggingface_hub (#4)
- Upload folder using huggingface_hub (de2430008c127bb26883807d6cae35b9e259f91a) Co-authored-by: Anima AI <animaai@users.noreply.huggingface.co>eec805d -
Upload folder using huggingface_hub (#2)
- Upload folder using huggingface_hub (de3f2d53092c97e7fb3855d72da37f332899b5eb) Co-authored-by: Anima AI <animaai@users.noreply.huggingface.co>addd65d
-
Upload folder using huggingface_hub (#1)
- Upload folder using huggingface_hub (1d23560aef9ac50aa80750f1de67238483bcc0b3) Co-authored-by: Anima AI <animaai@users.noreply.huggingface.co>2222470 -
initial commit
ba9e4ea