Instructions to use microsoft/deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download bpe_encoder.bin from microsoft/deberta-base: direct link, hf CLI and curl.
- Browser
- Download file 3.92 MB
-
https://huggingface.co/microsoft/deberta-base/resolve/refs%2Fpr%2F5/bpe_encoder.bin
- Command line
-
hf download hf://microsoft/deberta-base@refs/pr/5/bpe_encoder.bin
-
curl -L -o bpe_encoder.bin https://huggingface.co/microsoft/deberta-base/resolve/refs%2Fpr%2F5/bpe_encoder.bin
3.92 MB
- Xet hash:
- 6393ca7c4f74fc91cefb3897de66371c05d277d9f046d5e0468d8fb63a58a691
- Size of remote file:
- 3.92 MB
- SHA256:
- e7c6f9eecb461c01e09c00656ccf3e27944b9e74bfe29e51632b13d3cd9d6c8e
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