Instructions to use Aditya02/Llama_3.2_1B_Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aditya02/Llama_3.2_1B_Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aditya02/Llama_3.2_1B_Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 078a3acabab0f9af0178bd38f502e0fad99e2f3e7de1c9a6939b9eac448b21b4
- Size of remote file:
- 6.33 kB
- SHA256:
- 673c02420c5c0759bec9f011d6fc57276a4c66627feb50dbdea3c774377ad770
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.