Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use datleviet/ComOM-VIDeBERTa-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datleviet/ComOM-VIDeBERTa-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="datleviet/ComOM-VIDeBERTa-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("datleviet/ComOM-VIDeBERTa-2") model = AutoModelForSequenceClassification.from_pretrained("datleviet/ComOM-VIDeBERTa-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66dde3a3bb02fd0f5219b35b3d2787bef75a7a2612a35c5e2e6284bbb21b7ce1
- Size of remote file:
- 4.16 kB
- SHA256:
- 421bc6f8834df374cbae9aed0eb6afee6ac83898253557ba3ca442ea151d50bc
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