Instructions to use mrhunghd/f5d64a96-84d5-4f3e-bc04-e4b509675378 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrhunghd/f5d64a96-84d5-4f3e-bc04-e4b509675378 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "mrhunghd/f5d64a96-84d5-4f3e-bc04-e4b509675378") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69a1f73009744dc6dd9f7515b81a1d266c3f4c3a7a0a9c69fbbaf5526ea2ea61
- Size of remote file:
- 6.78 kB
- SHA256:
- 076a452d7edc557066e43ff4f8ebe2269e409e5a0b1c01e221f1f59378e8343f
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