Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Shunian/yelp_review_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunian/yelp_review_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shunian/yelp_review_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shunian/yelp_review_classification") model = AutoModelForSequenceClassification.from_pretrained("Shunian/yelp_review_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 836add0943b073f382885ff6d39858a10e91641734901dcb5404a2841ffe7a15
- Size of remote file:
- 433 MB
- SHA256:
- 66618dcdf0b77de05db294aec95e670a9d56ad669a09aee3af02c9e14aaff168
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