Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Chima207/distilbert_amazon_book_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chima207/distilbert_amazon_book_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Chima207/distilbert_amazon_book_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Chima207/distilbert_amazon_book_classification") model = AutoModelForSequenceClassification.from_pretrained("Chima207/distilbert_amazon_book_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 472425a540850a37a04deea13f0b0339ffad0d25b4c8f15ffb80b696dfec616d
- Size of remote file:
- 5.24 kB
- SHA256:
- 2ad3d6fe32db491ec22b13fbe8a88499bc143aa0d240b4ce8d244ac1de1f7270
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