Instructions to use error577/4e03c89a-8b75-498e-b418-baeb044e5bd5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/4e03c89a-8b75-498e-b418-baeb044e5bd5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "error577/4e03c89a-8b75-498e-b418-baeb044e5bd5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26db35599b0377b0aaa5bf92f450f49b5a82500557ce523ca72f2f7d02fe876d
- Size of remote file:
- 1.06 kB
- SHA256:
- cd1db1d801d8252d892325c3e9003b87eb802aad5ce526801f9c8f46e4bc23f6
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