Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use taeuk1/codebert-juliet-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taeuk1/codebert-juliet-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="taeuk1/codebert-juliet-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("taeuk1/codebert-juliet-v1") model = AutoModelForSequenceClassification.from_pretrained("taeuk1/codebert-juliet-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7af1b2ef9b879060e0f8959da110a2193cf430d2fdaa22cd181b5eefc63da1ce
- Size of remote file:
- 5.65 kB
- SHA256:
- 1764ee53e0c60274ea3ed8e0d4053d8fd7be36435373980dc5889b370d9bd325
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