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
Download training_args.bin from mattshumer/Jamba-Chat: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/mattshumer/Jamba-Chat/resolve/main/training_args.bin
- Command line
-
hf download hf://mattshumer/Jamba-Chat/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mattshumer/Jamba-Chat/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- dfd08af54da40b6a7e5182b703ac87628fb434c3cd6650ded3e12966af5ed27b
- Size of remote file:
- 4.86 kB
- SHA256:
- 0781d3934894a85ed10792c9299f0e56b467495a17caf2881d6aaf20b1f3d0b7
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