Instructions to use aleegis10/a3453512-9ee3-4604-ba9b-d9e99797bcb2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/a3453512-9ee3-4604-ba9b-d9e99797bcb2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "aleegis10/a3453512-9ee3-4604-ba9b-d9e99797bcb2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bceb80e2a0de429d4aefe15e42c7d235ae24db2cf032c8cb27506086afedbe9
- Size of remote file:
- 227 MB
- SHA256:
- 259bd5cdbce791bf5524f0e172e144fe957e4df56da97c03420aeee2fc4c1305
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