Text Classification
Transformers
Safetensors
English
roberta
genre
books
multi-label
dataset tools
text-embeddings-inference
Instructions to use BEE-spoke-data/roberta-base-description2genre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BEE-spoke-data/roberta-base-description2genre with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BEE-spoke-data/roberta-base-description2genre")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BEE-spoke-data/roberta-base-description2genre") model = AutoModelForSequenceClassification.from_pretrained("BEE-spoke-data/roberta-base-description2genre") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ec40ae9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ffcdde489b8cb6656f86cad05fc0b45b1a8c7061c8dc94ef0ae77c80b51974bd
size 4600
|