Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use jhonalevc1995/deberta_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhonalevc1995/deberta_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jhonalevc1995/deberta_large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jhonalevc1995/deberta_large") model = AutoModelForSequenceClassification.from_pretrained("jhonalevc1995/deberta_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a988ad026a78e2f6531cc45853f475390cb4953b372dd89fd1ea3e1e9ee1a28
- Size of remote file:
- 5.11 kB
- SHA256:
- 37e7f7d5358a71fff2aa5a7102948ec09a641d54696e58beebba36e72c9ecdf9
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