Instructions to use simonycl/best_model-yelp_polarity-32-42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/best_model-yelp_polarity-32-42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/best_model-yelp_polarity-32-42")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/best_model-yelp_polarity-32-42") model = AutoModelForSequenceClassification.from_pretrained("simonycl/best_model-yelp_polarity-32-42") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60651044d49387e3e0c7a43c5ce79f5874cb1890df441e17943d9138229aff26
- Size of remote file:
- 4.03 kB
- SHA256:
- 81b4f9d78322233eafed271cf46aa2d8b3b3cf8fa25af4b846269b89df72d989
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