Instructions to use michaelfeil/ct2fast-dolly-v2-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-dolly-v2-12b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-dolly-v2-12b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 389cf7bd5b862beeaf68ba3d893affd0ba6b884885e9fdb69f0f4b0eed6a7925
- Size of remote file:
- 11.9 GB
- SHA256:
- 6d4ea3a73b0413de03b089dba92320cdea04958aa99ff01ee383d3c1c0950be3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.