Instructions to use return2music/roberta-base_classification_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use return2music/roberta-base_classification_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="return2music/roberta-base_classification_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("return2music/roberta-base_classification_test") model = AutoModelForSequenceClassification.from_pretrained("return2music/roberta-base_classification_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 8
503ed68 -
Training in progress, epoch 7
8e7de05 -
Training in progress, epoch 6
88cffea -
Training in progress, epoch 5
6c170c4 -
Training in progress, epoch 4
1d11379 -
Training in progress, epoch 3
5bb9ed5 -
Training in progress, epoch 2
95e36bb -
Training in progress, epoch 1
8450153 -
Training in progress, epoch 5
550f609 -
Training in progress, epoch 4
3521461 -
Training in progress, epoch 3
f621310 -
Training in progress, epoch 2
fb5c453 -
Training in progress, epoch 1
76fb6f2 -
Training in progress, epoch 4
8268c63 -
Training in progress, epoch 3
0ee0177 -
Training in progress, epoch 2
ae0f399 -
Training in progress, epoch 1
0ed7c60