Instructions to use michaelfeil/ct2fast-flan-alpaca-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-flan-alpaca-large with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-flan-alpaca-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 055454d8f8d3211bbe9519066b49efe8825ef7edc06a0defb92a6aaecbf29741
- Size of remote file:
- 786 MB
- SHA256:
- e11b5147495cc48ef8b763dc3bfcff3b8e88d91a7baca7e1343525ab524061f7
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