Instructions to use codesj/empathic-concern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codesj/empathic-concern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codesj/empathic-concern")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("codesj/empathic-concern") model = AutoModelForSequenceClassification.from_pretrained("codesj/empathic-concern") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1aafb99a492baec9bb623feaea787e400fcc7c1f0382b7c9597e15669ddf786
- Size of remote file:
- 1.14 kB
- SHA256:
- 118513cc20d2814e4e9271571066a820312b0e227c79bfa4031fe780b715f246
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