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:
- f33418db00b771c5401796c0526255335d6decee195bccf9d7eeb80224cbd571
- Size of remote file:
- 84 MB
- SHA256:
- b746b89ad2d8b4d2d3006068e72676a81638e522c5b3481965660a5584db235a
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