Instructions to use aehrc/uniformer_base_tl_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aehrc/uniformer_base_tl_384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aehrc/uniformer_base_tl_384", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aehrc/uniformer_base_tl_384", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2352530443704496efdb331994596bdfc55cc55d62db47d4459cb23e305d7ef5
- Size of remote file:
- 197 MB
- SHA256:
- 0571c333da6cbecab2e8f03af5ca2b87608c1a5e269fbb5b070e175f02e6fd34
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