Instructions to use BrachioLab/supernova-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BrachioLab/supernova-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BrachioLab/supernova-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BrachioLab/supernova-classification") model = AutoModelForSequenceClassification.from_pretrained("BrachioLab/supernova-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8188aa3dfa9220fa9d2fff4eb96b8b60c3970af548d62e5ec7a91dd021550dc
- Size of remote file:
- 88.5 MB
- SHA256:
- d2f756a6b0baf5dbfd045ad00b8ac676cce63ee92da4bf05ff77fff2e2c12fb1
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