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:
- ba1c349d4f1a2cb3de04500ad302db95dea252a8052ca3132f167133da053640
- Size of remote file:
- 2.93 kB
- SHA256:
- e786bd1ef537a382285a95ac7f452a91d1521b490bec8b1018dacd87e6012b0b
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