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:
- c61358eea2e673264145f18480abd513fe920b4acdf1ca7c30cf5a148c05b56d
- Size of remote file:
- 499 MB
- SHA256:
- 184e483a5e3248280e051d7c0b0759f862a3eb1ffb6b97086aa28a31ef9b3906
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