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:
- 48075dc03afba5ea9d6548622947ef972a5bfb7dd7c3913fb5943fc7deab9dc1
- Size of remote file:
- 646 MB
- SHA256:
- f2f53211fb6244d4958932961c4ec266a06e01877e615bbb3cf1870a26169963
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