Instructions to use AlexHung29629/mistral-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexHung29629/mistral-processor with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexHung29629/mistral-processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7db9989b8c72765115868371f58550938567925592187fc14e89cea7f0b2092e
- Size of remote file:
- 17.1 MB
- SHA256:
- 24f2d27f4699b47d7e5dfa65648c204844bd17b9e81c30733e1cbd55e5385da7
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