Instructions to use smahns/astrollama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smahns/astrollama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "smahns/astrollama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b4706aca6a88077cf668324a2d200afbccad2d6883b0c7b1c2b95ada1fe27c7
- Size of remote file:
- 4.86 kB
- SHA256:
- be5e420f49c37d5ae19bb1414af3cb9c8a93bbb1e53bc6c84438836fc9484383
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.