Instructions to use apperry-ai/fact_extraction_roberta_crf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apperry-ai/fact_extraction_roberta_crf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="apperry-ai/fact_extraction_roberta_crf")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("apperry-ai/fact_extraction_roberta_crf") model = AutoModelForTokenClassification.from_pretrained("apperry-ai/fact_extraction_roberta_crf") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot