Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use pglee/github-issue-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pglee/github-issue-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pglee/github-issue-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pglee/github-issue-classifier") model = AutoModelForSequenceClassification.from_pretrained("pglee/github-issue-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35a0845f8b59471f46b1c2042950fc424ce1a669e37a3bbd206d465c218e5fb1
- Size of remote file:
- 3.31 kB
- SHA256:
- 90b60008fd53f98df02b5a862f01b9a18a1e40c2828bbd82a5bead8a45c8526f
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