Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use datleviet/ComOM-VIDeBERTa-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datleviet/ComOM-VIDeBERTa-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="datleviet/ComOM-VIDeBERTa-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("datleviet/ComOM-VIDeBERTa-1") model = AutoModelForSequenceClassification.from_pretrained("datleviet/ComOM-VIDeBERTa-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8e59cb0a465887528e99734f57f1616c861c8c658da453aef7ee1a5ee2236c8
- Size of remote file:
- 4.16 kB
- SHA256:
- f1eba581d2321f0f12398bb3144e2622bcc9ea8cd6f9884f47af581cfcae594f
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