Instructions to use nhungphammmmm/5dc2d180-409c-44ec-bbdf-78f2e2df869a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/5dc2d180-409c-44ec-bbdf-78f2e2df869a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/5dc2d180-409c-44ec-bbdf-78f2e2df869a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6ab30aa199762a7725ae18742b4ae18dfc5454e1642801955128da9918852dc
- Size of remote file:
- 417 kB
- SHA256:
- ac86f3e9e1ad6e722b078436906e179baedb48a6a810f430b54bb71736286b82
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