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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85d29bf3f0e7137c21732b2d40a07ea0148cb86fce5b686bbae960cdb1c46a20
- Size of remote file:
- 4.54 kB
- SHA256:
- a4bd5dc31f488f2d220d510fe997d39352d2980567e77e78d2fcd00720397a72
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