Instructions to use mattshumer/Jamba-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mattshumer/Jamba-Chat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ai21labs/Jamba-v0.1") model = PeftModel.from_pretrained(base_model, "mattshumer/Jamba-Chat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b99e6f77715aee345c17dbf0a3ac6bb250ae3b5f858d4e9170dc7cafa9f5c09
- Size of remote file:
- 78.5 MB
- SHA256:
- 8a91ccc703d775542510497fd7e33d6d81f57c437bf2de289ba43ffd053478b3
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