Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use taeuk1/codebert-bin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taeuk1/codebert-bin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="taeuk1/codebert-bin")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("taeuk1/codebert-bin") model = AutoModelForSequenceClassification.from_pretrained("taeuk1/codebert-bin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c85de5c3c3b1b4d6796eb0256a4bd55ecb4446b8f5d9f21ac6a8aca4fac01b2a
- Size of remote file:
- 499 MB
- SHA256:
- 8eb4944872d2fb9f6c02f497cd853979857fdc1134e06db9d0b7fd8df1f16ed2
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