Instructions to use bdotloh/roberta-base-empathy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bdotloh/roberta-base-empathy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bdotloh/roberta-base-empathy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bdotloh/roberta-base-empathy") model = AutoModelForSequenceClassification.from_pretrained("bdotloh/roberta-base-empathy") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b97b068dd5e2f5ef4bfab6ff8f309a4eeda9a3ce68a282201daa33e15297bcaf
- Size of remote file:
- 499 MB
- SHA256:
- 772a62b0072314a7b16f2f39cb8913e329cf6bca4b55f87bbe1f963ebab1b46a
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