Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DPhO05/roberta-natf-technical-debt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DPhO05/roberta-natf-technical-debt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DPhO05/roberta-natf-technical-debt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DPhO05/roberta-natf-technical-debt") model = AutoModelForSequenceClassification.from_pretrained("DPhO05/roberta-natf-technical-debt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf5408e34286b2525bdca27252cb02f4b8b179460cbf62a2b73947a975ccd777
- Size of remote file:
- 5.2 kB
- SHA256:
- d71e6ec8232ef7ff4c712b67a1c3f6855686d2e2f631ca0195139e446bb6b418
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