Instructions to use trustyai/tci_minus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trustyai/tci_minus with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("trustyai/tci_minus") model = AutoModelForSeq2SeqLM.from_pretrained("trustyai/tci_minus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0cb6e4b47d8b62167e8935f5fe74826f205ade593a868f13d9aee43f78c2950
- Size of remote file:
- 4.73 kB
- SHA256:
- 7d0f242270b07e51dca9f7068b43b999d967ff5817eb5315a448c060bb9902eb
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