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:
- d72898a43ea3c1185bfd547bb1ebbff400897deddd3eb1b69c6afb28d95a916b
- Size of remote file:
- 499 MB
- SHA256:
- 8aec3cd572ae49d386af2e9dee41d3d9563c5ff293f95dde0be9d235e1df1d90
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