Instructions to use quasar529/deberta-v3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quasar529/deberta-v3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="quasar529/deberta-v3-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("quasar529/deberta-v3-large") model = AutoModelForSequenceClassification.from_pretrained("quasar529/deberta-v3-large") - Notebooks
- Google Colab
- Kaggle
BumJun KIM commited on
Commit ·
ea1b746
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Parent(s): 91d5c30
Training in progress, epoch 10
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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