Instructions to use antimage88/9fb0eecc-23d8-4c06-99d6-ac1983a178d9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/9fb0eecc-23d8-4c06-99d6-ac1983a178d9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/9fb0eecc-23d8-4c06-99d6-ac1983a178d9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19785eb4b928b2ae4435e3244df5003edc9e1a5d3b331b3549e98741fea5f78
- Size of remote file:
- 296 MB
- SHA256:
- d009d6bd1b577b042ac7a1690d5b3fcce5e2006af6c662ac21095d083e8893d3
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