Instructions to use Ino4Dev/firstTrained_llama2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ino4Dev/firstTrained_llama2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ino4Dev/firstTrained_llama2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 091ba94ac105c70f3bef922a8798bc22dcdbc6df01e2e427ea82df9998ca1a4a
- Size of remote file:
- 134 MB
- SHA256:
- 4556f232782f164cbf62e3cd5a4cde239833a2d6fb36a72c31255f185977d9c2
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