Instructions to use nhungphammmmm/1747d59e-0d3b-4772-8a41-126614fa1c2a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/1747d59e-0d3b-4772-8a41-126614fa1c2a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Capybara-7B-V1.9") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/1747d59e-0d3b-4772-8a41-126614fa1c2a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3f04e53c1324927d24e44727d2240d3d546d1033db3ea2ceda53e9396bab83b
- Size of remote file:
- 83.9 MB
- SHA256:
- 0fc30cd792f60864d5cc014f59b602381917462b0ab39e5e7a958cc8e5dcb029
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