Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use davidgaofc/TechDebtClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidgaofc/TechDebtClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davidgaofc/TechDebtClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davidgaofc/TechDebtClassifier") model = AutoModelForSequenceClassification.from_pretrained("davidgaofc/TechDebtClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bb1edaef8dda06b60a5bf426abb06ab215d0dee36cc83a82ed8ba2e524158ed
- Size of remote file:
- 334 MB
- SHA256:
- 5ad642457f096641a56ad58bf1052a2d3509974194e0f876096fb2a6d5bdfca0
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