Instructions to use hf-internal-testing/tiny-random-SwiftFormerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SwiftFormerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-SwiftFormerModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-SwiftFormerModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-SwiftFormerModel") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened about 2 years ago
by
SFconvertbot
Update tiny models for SwiftFormerModel
#5 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for SwiftFormerModel
#4 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for SwiftFormerModel
#3 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for SwiftFormerModel
#2 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for SwiftFormerModel
#1 opened about 3 years ago
by
hf-transformers-bot