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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from BrachioLab/supernova-classification: direct link, hf CLI and curl.
- Browser
- Download file 88.6 MB
-
https://huggingface.co/BrachioLab/supernova-classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BrachioLab/supernova-classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BrachioLab/supernova-classification/resolve/main/pytorch_model.bin
88.6 MB
- Xet hash:
- 67f811d6b5d449d1c24309e44a211a8649322e1afcc6b8fc177344a1b08cab3c
- Size of remote file:
- 88.6 MB
- SHA256:
- b5a9e486c06a69e8ba1cead9e3e784b1ababfb56076c80a8add7b5749e1fa0fb
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