Instructions to use Shefreie/empathetic_dialogues_context_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shefreie/empathetic_dialogues_context_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shefreie/empathetic_dialogues_context_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shefreie/empathetic_dialogues_context_classification") model = AutoModelForSequenceClassification.from_pretrained("Shefreie/empathetic_dialogues_context_classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9a3fb8a41c2ee220a6ab9a9108affef014070e54b5f9d2230686e88872b8db3
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size 46836192
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