Instructions to use crazyup37/csm_500checkpoint_lora_16bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use crazyup37/csm_500checkpoint_lora_16bit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "crazyup37/csm_500checkpoint_lora_16bit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4b60e0688c6288afa0080b56f2b678f7897b43fc2e42e71d60623661a2ebe77
- Size of remote file:
- 55 MB
- SHA256:
- aedb37a4bd3020b8924944630aa09bd26c4c19ec9f24a81bb50dbab11162dcd2
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