Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use dv347/deberta-v3-large_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dv347/deberta-v3-large_20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dv347/deberta-v3-large_20")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dv347/deberta-v3-large_20") model = AutoModelForSequenceClassification.from_pretrained("dv347/deberta-v3-large_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d59735bf12f860c6dd73a612a2e785a91c388afca5947f46107678808d7c733
- Size of remote file:
- 5.33 kB
- SHA256:
- a89ef1d519b7790901505bf234981e11767f5620d2d78841873d86baf709da17
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