Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use ThuyNT03/CS505-Dev-CSI-videberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuyNT03/CS505-Dev-CSI-videberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuyNT03/CS505-Dev-CSI-videberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuyNT03/CS505-Dev-CSI-videberta-base") model = AutoModelForSequenceClassification.from_pretrained("ThuyNT03/CS505-Dev-CSI-videberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 649a6bbe80a7c09280173277cded679b497f4dd695b755412166dd596dd979b8
- Size of remote file:
- 5.11 kB
- SHA256:
- 7691d208aa8c48aeb466c92adc14ee2c06008c98ea8e693717721c1b398299be
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