Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use arize-ai/distilbert_reviews_with_context_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_context_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_context_drift")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arize-ai/distilbert_reviews_with_context_drift") model = AutoModelForSequenceClassification.from_pretrained("arize-ai/distilbert_reviews_with_context_drift") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#3 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Very cool first model!
2
#1 opened about 4 years ago
by
clem