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
File size: 132 Bytes
e40a651 | 1 2 3 4 5 6 7 | {
"Literary / General Fiction": 0,
"Mystery / Thriller / Crime": 1,
"Nonfiction": 2,
"Romance": 3,
"Sci-Fi / Fantasy": 4
} |