Instructions to use vishwa27/rm_longformer_h1r2_FAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishwa27/rm_longformer_h1r2_FAC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vishwa27/rm_longformer_h1r2_FAC")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vishwa27/rm_longformer_h1r2_FAC") model = AutoModelForTokenClassification.from_pretrained("vishwa27/rm_longformer_h1r2_FAC") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot