Instructions to use deepvk/deberta-v1-distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepvk/deberta-v1-distill with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepvk/deberta-v1-distill")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepvk/deberta-v1-distill") model = AutoModel.from_pretrained("deepvk/deberta-v1-distill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (802385b7d6f02457b0df5857693c8d0d85b1c375) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>137340c
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Create README.md
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Upload tokenizer
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Upload model
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initial commit
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