Instructions to use jorgeortizv/reviewUsefulness-binaryClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jorgeortizv/reviewUsefulness-binaryClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jorgeortizv/reviewUsefulness-binaryClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jorgeortizv/reviewUsefulness-binaryClassification") model = AutoModelForSequenceClassification.from_pretrained("jorgeortizv/reviewUsefulness-binaryClassification") - 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 sha256:5c2f3feb6600be4d57106f76532060ab430fabde29a7f0692a505623c6d4c605
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size 436355056
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