Instructions to use microsoft/deberta-v3-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-small")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-small", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Model Weights
#5
by j-garcia - opened
As stated in https://github.com/microsoft/DeBERTa/tree/master/experiments/language_model, the weights for both the generator and discriminator of the Small version should be uploaded in the Hugging Face repository under the following links:
- [Generator] https://huggingface.co/microsoft/deberta-v3-small/resolve/main/pytorch_model.generator.bin
- [Discriminator] https://huggingface.co/microsoft/deberta-v3-small/resolve/main/pytorch_model.bin
But there is no "pytorch_model.generator.bin" file uploaded. Would be possible to have both files?
Thanks in advance.