Instructions to use ydshieh/tiny-random-DebertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-DebertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ydshieh/tiny-random-DebertaModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-DebertaModel") model = AutoModel.from_pretrained("ydshieh/tiny-random-DebertaModel") - Notebooks
- Google Colab
- Kaggle
Update tiny models for DebertaModel
#5
by ydshieh HF Staff - opened
- pytorch_model.bin +1 -1
- tf_model.h5 +1 -1
pytorch_model.bin
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tf_model.h5
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