Instructions to use hf-tiny-model-private/tiny-random-DonutSwinModel 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-DonutSwinModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-DonutSwinModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-DonutSwinModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-DonutSwinModel") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModel
processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-DonutSwinModel")
model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-DonutSwinModel")Quick Links
No model card
- Downloads last month
- 14
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-DonutSwinModel")