Instructions to use tgsc/microsoft-deberta-large-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgsc/microsoft-deberta-large-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tgsc/microsoft-deberta-large-generator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tgsc/microsoft-deberta-large-generator") model = AutoModelForMaskedLM.from_pretrained("tgsc/microsoft-deberta-large-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (1387ac49a132d6f451524959074fdad8075c6900) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>287062a
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