Instructions to use nhungphammmmm/3a797b6c-4c52-4ff7-a05b-9a2b9ba5807c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/3a797b6c-4c52-4ff7-a05b-9a2b9ba5807c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/3a797b6c-4c52-4ff7-a05b-9a2b9ba5807c") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from nhungphammmmm/3a797b6c-4c52-4ff7-a05b-9a2b9ba5807c: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/nhungphammmmm/3a797b6c-4c52-4ff7-a05b-9a2b9ba5807c/resolve/main/vocab.json
- Command line
-
hf download hf://nhungphammmmm/3a797b6c-4c52-4ff7-a05b-9a2b9ba5807c/vocab.json
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curl -L -o vocab.json https://huggingface.co/nhungphammmmm/3a797b6c-4c52-4ff7-a05b-9a2b9ba5807c/resolve/main/vocab.json
2.78 MB
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