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