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:
- 09762caed4e643852263dd5c91f7f08ba851eaff111f339e45d6dfd939bda619
- Size of remote file:
- 568 MB
- SHA256:
- 82dd87c7fa9484e1931023e7099ebee6a8f699866991458f284a581807aca644
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