Instructions to use bobox/DeBERTa-ST-AllLayers-testing-v2-checkpoints-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobox/DeBERTa-ST-AllLayers-testing-v2-checkpoints-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bobox/DeBERTa-ST-AllLayers-testing-v2-checkpoints-tmp")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bobox/DeBERTa-ST-AllLayers-testing-v2-checkpoints-tmp") model = AutoModel.from_pretrained("bobox/DeBERTa-ST-AllLayers-testing-v2-checkpoints-tmp") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5259
Browse files
pytorch_model.bin
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runs/Jul06_09-48-05_bc54898d73b0/events.out.tfevents.1720259308.bc54898d73b0.1836.0
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