Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use arize-ai/distilbert_reviews_with_language_drift with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arize-ai/distilbert_reviews_with_language_drift with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arize-ai/distilbert_reviews_with_language_drift")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arize-ai/distilbert_reviews_with_language_drift") model = AutoModelForSequenceClassification.from_pretrained("arize-ai/distilbert_reviews_with_language_drift") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1494187cb2e682ae07de4dcb88a1a8eeef28fc4fb336f1853200edb91c2357a
- Size of remote file:
- 268 MB
- SHA256:
- 97dba364b3504eecc033bf6896ea6834874d76b335e259a025600d991b4d8c03
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