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:
- 5697106d68b5a59c92b0f3e0c3de4507e851007102c142014d6dec1bd56b944f
- Size of remote file:
- 3.31 kB
- SHA256:
- 8d57aced08c05455666b979ce659acb20ef2862f99e1e8bd76140a313a938493
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