Instructions to use antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28db2ac067e9176db6da82aae6364946800fa40f9b7653a2ac16bf9ec7392651
- Size of remote file:
- 296 MB
- SHA256:
- 8b18e44ebcebe33e280e6bbbf08a76bccd4af71f040c7b1a1fe3876065bb5aec
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