Instructions to use emilylearning/finetuned_cgp_added_none__test_run_False__p_dataset_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilylearning/finetuned_cgp_added_none__test_run_False__p_dataset_100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilylearning/finetuned_cgp_added_none__test_run_False__p_dataset_100")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilylearning/finetuned_cgp_added_none__test_run_False__p_dataset_100") model = AutoModelForTokenClassification.from_pretrained("emilylearning/finetuned_cgp_added_none__test_run_False__p_dataset_100") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot