Text Classification
Transformers
Safetensors
English
deberta-v2
books
genre-classification
metadata
text-embeddings-inference
Instructions to use Mitchins/book-genre-v5-title-author with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitchins/book-genre-v5-title-author with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mitchins/book-genre-v5-title-author")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mitchins/book-genre-v5-title-author") model = AutoModelForSequenceClassification.from_pretrained("Mitchins/book-genre-v5-title-author", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "Literary / General Fiction": 0, | |
| "Mystery / Thriller / Crime": 1, | |
| "Nonfiction": 2, | |
| "Romance": 3, | |
| "Sci-Fi / Fantasy": 4 | |
| } |