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:
- 99a1a8f146f908a18c4fa47f5e4d3e138cc45918d9e371d787451e1d1d4a397d
- Size of remote file:
- 568 MB
- SHA256:
- 128b80b735c27015e26400c224743fc2f4881979b6b9945dd99cfaacee37cdea
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