Text Classification
Transformers
English
reflection
cross-encoder
motivational-interviewing
conversation-analysis
roberta
Instructions to use coding-zzz-oe/PAIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coding-zzz-oe/PAIR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coding-zzz-oe/PAIR")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("coding-zzz-oe/PAIR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from coding-zzz-oe/PAIR: direct link, hf CLI and curl.
- Browser
- Download file 70 Bytes
-
https://huggingface.co/coding-zzz-oe/PAIR/resolve/main/config.json
- Command line
-
hf download hf://coding-zzz-oe/PAIR/config.json
-
curl -L -o config.json https://huggingface.co/coding-zzz-oe/PAIR/resolve/main/config.json
70 Bytes
| { | |
| "task": "text-classification", | |
| "custom_handler": "handler.py" | |
| } | |