Instructions to use jxu124/TiO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jxu124/TiO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="jxu124/TiO", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jxu124/TiO", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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Oracle(answering):
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```python
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text = """ #instruction: answer the question based on the region. \n #context: \"\
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#region: <bin_847> <bin_319> <bin_923> <bin_467>
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"""
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```
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Oracle(answering):
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```python
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text = """ #instruction: answer the question based on the region. \n #context: \"\
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agent: look that man in white!
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human: is he the one who just threw the ball? \"
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#region: <bin_847> <bin_319> <bin_923> <bin_467>
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"""
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```
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