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
Commit ·
06f46a3
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Parent(s): 468fe31
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea58fb2bb5c59068f77b523eabefbd70e592100ba9b70a4a3b563c7ff8ac224a
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size 437942328
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