Text Classification
Transformers
Safetensors
English
electra
regression
customer-service
empathy-detection
Instructions to use raghavdw/cci-capstone-asapp-empathy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raghavdw/cci-capstone-asapp-empathy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raghavdw/cci-capstone-asapp-empathy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raghavdw/cci-capstone-asapp-empathy") model = AutoModelForSequenceClassification.from_pretrained("raghavdw/cci-capstone-asapp-empathy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c8208c1ff1c072e0700c1c1751311750646519dcee8622e119c10019ac93b49
- Size of remote file:
- 5.3 kB
- SHA256:
- 1a0298820475d49d198ba9977c3b200642222061f770979a5c9a628fe45d2efd
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