Instructions to use ndaheim/cima_ungrounded_joint_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ndaheim/cima_ungrounded_joint_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ndaheim/cima_ungrounded_joint_model") model = AutoModelForSeq2SeqLM.from_pretrained("ndaheim/cima_ungrounded_joint_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f7f626a9986342241ddc3a3eca9cbc0f47b88aa85a5f488dcc913a18e066716
- Size of remote file:
- 558 MB
- SHA256:
- 651ce0c707bd4267aa6895e4822d3d361a3a0f88fa335a167501deda59592ee1
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