Instructions to use anchitya/book-genre-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anchitya/book-genre-classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-cased") model = PeftModel.from_pretrained(base_model, "anchitya/book-genre-classifier") - Transformers
How to use anchitya/book-genre-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anchitya/book-genre-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anchitya/book-genre-classifier") model = AutoModelForSequenceClassification.from_pretrained("anchitya/book-genre-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03e035b1f30429aef26ec7bfc2f427613e88ffe042db22540ef7470f6a82b952
- Size of remote file:
- 5.2 kB
- SHA256:
- 14f208a18dd0e58238e0a03ce5a707879eb3c616f04e95f0af9fd945a2f0d5a2
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