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
| { | |
| "epoch": 6.0, | |
| "eval_f1": 0.6717231571462432, | |
| "eval_loss": 0.21304987370967865, | |
| "eval_runtime": 3.3638, | |
| "eval_samples": 989, | |
| "eval_samples_per_second": 294.016, | |
| "eval_steps_per_second": 4.757 | |
| } |