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:
- 6eda64f2f0f89283406ed111798a09e25236efbaa91e35672bf38bc11834ff34
- Size of remote file:
- 3.57 kB
- SHA256:
- e2ee23e6c77ced5659a15a9f19b8c60188ce077c2ba4dfa8f7ae43239c7074d7
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