Instructions to use conversify/response-score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conversify/response-score with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conversify/response-score")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conversify/response-score") model = AutoModelForSequenceClassification.from_pretrained("conversify/response-score") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
06f46a3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ea58fb2bb5c59068f77b523eabefbd70e592100ba9b70a4a3b563c7ff8ac224a
size 437942328
|