Instructions to use microsoft/deberta-v3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from microsoft/deberta-v3-large: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/microsoft/deberta-v3-large/resolve/main/tf_model.h5
- Command line
-
hf download hf://microsoft/deberta-v3-large/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/microsoft/deberta-v3-large/resolve/main/tf_model.h5
1.74 GB
- Xet hash:
- 76decf6a00faf31aae2b4218dc8b7f9fa8a98fba4f8a01a93dd340c2a17f2516
- Size of remote file:
- 1.74 GB
- SHA256:
- 20462c6c76990df31b0e82ee5d1e2b7cb06e0a3823334149fbb3b169826ed476
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