Instructions to use FrankDigsData/FranksWorldInstructLab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FrankDigsData/FranksWorldInstructLab with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FrankDigsData/FranksWorldInstructLab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from FrankDigsData/FranksWorldInstructLab: direct link, hf CLI and curl.
- Browser
- Download file 103 Bytes
-
https://huggingface.co/FrankDigsData/FranksWorldInstructLab/resolve/main/README.md
- Command line
-
hf download hf://FrankDigsData/FranksWorldInstructLab/README.md
-
curl -L -o README.md https://huggingface.co/FrankDigsData/FranksWorldInstructLab/resolve/main/README.md
103 Bytes
| license: mit | |
| language: | |
| - en | |
| base_model: | |
| - instructlab/granite-7b-lab | |
| library_name: transformers | |