Instructions to use rimoKR/github-issue-tag-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rimoKR/github-issue-tag-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rimoKR/github-issue-tag-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rimoKR/github-issue-tag-classifier") model = AutoModelForSequenceClassification.from_pretrained("rimoKR/github-issue-tag-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d53255082fd7bb90ecb1d6fd2b833de7041a6d3fe9565d38100a389b00d940
- Size of remote file:
- 438 MB
- SHA256:
- 173e274e556ae1035af63a826690dd582b9505a0e8ee444f9f68538a87ce90cb
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