Instructions to use handraise-dev/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use handraise-dev/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="handraise-dev/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("handraise-dev/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("handraise-dev/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jul09_10-50-53_Wess-MacBook-Pro.local
- Jul09_10-53-31_Wess-MacBook-Pro.local
- Jul09_10-54-50_Wess-MacBook-Pro.local
- Jul09_10-57-15_Wess-MacBook-Pro.local
- Jul09_11-09-42_Wess-MacBook-Pro.local
- Jul09_11-48-25_Wess-MacBook-Pro.local
- Jul09_12-59-00_Wess-MacBook-Pro.local
- Jul09_14-27-15_Wess-MBP.attlocal.net
- Jul09_14-29-09_Wess-MBP.attlocal.net
- Jul09_14-35-11_Wess-MBP.attlocal.net