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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7fa947fe0dc0368c0db9d583f58e580a1e3449e1ce5fbed00dd46899b22c2e5
- Size of remote file:
- 326 MB
- SHA256:
- a9381fe62d22307991e720f17fa35fdc934a0e7b10bd55fc38b10f522f681f5c
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