Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use wandb/sourcecode-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wandb/sourcecode-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wandb/sourcecode-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wandb/sourcecode-detection") model = AutoModelForSequenceClassification.from_pretrained("wandb/sourcecode-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a5e21bf80e6b7825cd91976b03f1b63f33bdd1ccc95b1efb9b1a22f4274cc31
- Size of remote file:
- 5.5 kB
- SHA256:
- ebefe2e3f45cb5b538c09d0f2321db573ae3b184715d0bf08309c429f81f128c
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