Instructions to use hf-tiny-model-private/tiny-random-DetaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DetaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-DetaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-DetaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
f1607ea | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:13b769c82e0c4a680653c924e5f50ca61b046168a7553ca5f4740af588a919f9
size 122805393
|