Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DPhO05/codebert-td with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DPhO05/codebert-td with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DPhO05/codebert-td")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DPhO05/codebert-td") model = AutoModelForSequenceClassification.from_pretrained("DPhO05/codebert-td") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f492b221d52bba553a606cd6bc6cb900c7e85d7d1051224e5d3adc9cc8263f
- Size of remote file:
- 5.2 kB
- SHA256:
- fdd4ed5d7d38df8a3e67d8d61eec53603067bce55c574574fca01f44a9c6e7a7
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