Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Chima207/distilbert_goodreads_book_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chima207/distilbert_goodreads_book_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Chima207/distilbert_goodreads_book_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Chima207/distilbert_goodreads_book_classification") model = AutoModelForSequenceClassification.from_pretrained("Chima207/distilbert_goodreads_book_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef71887a36e055099f20402ef81b60c6e097b307920af5ed2710f2bb0eabdba4
- Size of remote file:
- 5.24 kB
- SHA256:
- c33413195e3e11c8fc3ab99d120c6d6dcf3b76fe14592f3baa49a2ef179be4db
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