Text Classification
Transformers
TensorBoard
Safetensors
PyTorch
distilbert
amazon-rating
DistilBERTForSequenceClassification
Generated from Trainer
text-embeddings-inference
Instructions to use arnabdhar/distilbert-base-amazon-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnabdhar/distilbert-base-amazon-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arnabdhar/distilbert-base-amazon-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arnabdhar/distilbert-base-amazon-multi") model = AutoModelForSequenceClassification.from_pretrained("arnabdhar/distilbert-base-amazon-multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c547bdca58bc2953a0a6129645cc2474275bacd2a1807e01e1d26d019ace389
- Size of remote file:
- 4.6 kB
- SHA256:
- a0764bc084c6e5b99f22229cf36f118f56ccabb15df67c9e9b28c45f297f72c7
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