Text Classification
Transformers
Safetensors
roberta
book
genre
book title
text-embeddings-inference
Instructions to use BEE-spoke-data/roberta-large-title2genre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BEE-spoke-data/roberta-large-title2genre with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BEE-spoke-data/roberta-large-title2genre")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BEE-spoke-data/roberta-large-title2genre") model = AutoModelForSequenceClassification.from_pretrained("BEE-spoke-data/roberta-large-title2genre") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdc3cb83822d46b055ff38d6cd366dcd8336328390f419f0bf9929a94c7f3fc8
- Size of remote file:
- 1.42 GB
- SHA256:
- 8601937cac48a5151f1d4c48445cb8b152e8e9bc875f9ee17304ea18ff02913e
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