Instructions to use ba-claim/distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ba-claim/distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ba-claim/distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ba-claim/distilbert") model = AutoModelForSequenceClassification.from_pretrained("ba-claim/distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
bf3fb36
-
Update README.md
543f54a -
Update README.md
5974ba3 -
Update README.md
3456219 -
Update README.md
8ab7324 -
Update README.md
5c539e7 -
Update README.md
690f0da -
Create README.md
27c4e6f
-
Upload tokenizer
3c59bce -
Upload DistilBertForSequenceClassification
0cff444 -
initial commit
0785049