Instructions to use Norquinal/Jamba-v0.1-Claude-Chat-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Norquinal/Jamba-v0.1-Claude-Chat-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Norquinal/Jamba-v0.1-Claude-Chat-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91019d0fa99a65d88f52e02179517a1ea586b869af08acbf3210389b568642ce
- Size of remote file:
- 155 MB
- SHA256:
- 64b086db27b61fec1fe43354a26c38575d1e788de01db883695ea9fa04ed1ce0
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