Instructions to use timlim123/13b_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use timlim123/13b_random with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/weights_hf/llama_v2/weights_hf/13B") model = PeftModel.from_pretrained(base_model, "timlim123/13b_random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77857ab5346748f7acb550fe40f4822154b641267da12216ab58fa363eb26cbe
- Size of remote file:
- 26.3 MB
- SHA256:
- 13427dad8c540f09f09705952751fe7e380b829b32ff01fe8e67ba916a5b0aed
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