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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anchitya/book-genre-classifier") model = AutoModelForSequenceClassification.from_pretrained("anchitya/book-genre-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from anchitya/book-genre-classifier: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/anchitya/book-genre-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://anchitya/book-genre-classifier/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/anchitya/book-genre-classifier/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.