Instructions to use antimage88/e5f1c717-dc5c-4808-9daa-b3a40158b94d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/e5f1c717-dc5c-4808-9daa-b3a40158b94d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/e5f1c717-dc5c-4808-9daa-b3a40158b94d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5de32fdf2d9a9af1d2c358055dd1e161965a5741d404ddb6884919354e64486a
- Size of remote file:
- 6.84 kB
- SHA256:
- 72d974c187bcf089696170453c6643256be3461c87fac008ca313c1267a8eb6f
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