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
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f131363363ad1fc4550486b2c5126d6b05f38928fcf77fb05b7c86a8108a0fc8
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