Instructions to use Python/ACROSS-m2o-eng-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Python/ACROSS-m2o-eng-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Python/ACROSS-m2o-eng-base") model = AutoModelForMultimodalLM.from_pretrained("Python/ACROSS-m2o-eng-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 527d87f98262ecc2b930d9686fb0cf021f1d1ce75e50ee84b34f976adb50ec3b
- Size of remote file:
- 2.33 GB
- SHA256:
- 2d7e13c64ad48a61fdf31c793117d9bb2c3d82d5aba578e708a6b53bd6c0ab91
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