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
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (6c9e22d0c1232e56eb612d39e6d0e1bb40e1adc7)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3d7a85b88ca674e6cd91ac0339b7502640fdbdb1e128c02accc11b225e6f729
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size 93614192
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