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