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:
- 8d8f14474c1f0372cc22bca4792d41119e0b02354f034614b6f9175b688061d4
- Size of remote file:
- 116 MB
- SHA256:
- 935c9d7f6527533be46577a43626d788791243fb59fe44b4fc0f89e0d6d569b9
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