Instructions to use Joshwabail/aspect_extractor_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joshwabail/aspect_extractor_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Joshwabail/aspect_extractor_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Joshwabail/aspect_extractor_distilbert") model = AutoModelForTokenClassification.from_pretrained("Joshwabail/aspect_extractor_distilbert") - Notebooks
- Google Colab
- Kaggle
Commit History
Training in progress, epoch 5 8624d14
Joshua Bailey commited on
Training in progress, epoch 4 8b6c49e
Joshua Bailey commited on
Training in progress, epoch 3 c54ff4e
Joshua Bailey commited on
Training in progress, epoch 2 e4a30c6
Joshua Bailey commited on
Training in progress, epoch 1 36072c0
Joshua Bailey commited on
Training in progress, epoch 5 961795d
Joshua Bailey commited on
Training in progress, epoch 4 721f1af
Joshua Bailey commited on
Training in progress, epoch 3 30af4da
Joshua Bailey commited on
Training in progress, epoch 2 8d0f0c4
Joshua Bailey commited on
Training in progress, epoch 1 1d57056
Joshua Bailey commited on
initial commit de3f526
Joshua Bailey commited on