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:
- 1bd344de6e39862c79cee46ce3289792cf285517f1cfe3b22aa0408e84021a2f
- Size of remote file:
- 6.78 kB
- SHA256:
- 5a0fc1321a69190c7524c872fa7f1f7a021fdb6b6e23566af6b4217cef5f1d16
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