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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepvk/deberta-v1-distill") model = AutoModel.from_pretrained("deepvk/deberta-v1-distill") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbc1e0310fa9ba5059674c0d98e34c545cd93f9ee50cc767e91177be5dffcc70
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size 326096936
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