Instructions to use MaiiaCompsolutions/title_pair_clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaiiaCompsolutions/title_pair_clf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MaiiaCompsolutions/title_pair_clf")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MaiiaCompsolutions/title_pair_clf") model = AutoModelForSequenceClassification.from_pretrained("MaiiaCompsolutions/title_pair_clf") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:4a59a4faf692a894a640b40f16daa62e0ce2b645728e899bfec842b5f5863262
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size 437962832
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