Instructions to use microsoft/deberta-v3-xsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-xsmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-xsmall")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-xsmall", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d3d33521e4d2ef78020eafcd23685a0775737e78225f3c52622aa41cdf5cad1
- Size of remote file:
- 283 MB
- SHA256:
- e4acc9091ea792243df144e2ec7fb97d2729aaf77adab9290eb25ddc693af2f9
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