Instructions to use Casually/uie-micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Casually/uie-micro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Casually/uie-micro", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Casually/uie-micro", trust_remote_code=True) model = AutoModel.from_pretrained("Casually/uie-micro", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9543afd9f33b17875da2df3006330307c96ab2a5d54c2275b6cc3db8be6fc5af
- Size of remote file:
- 93.6 MB
- SHA256:
- f131363363ad1fc4550486b2c5126d6b05f38928fcf77fb05b7c86a8108a0fc8
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