Instructions to use KasuleTrevor/Qwen2-RUNY-Intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KasuleTrevor/Qwen2-RUNY-Intent with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-Audio-7B-Instruct") model = PeftModel.from_pretrained(base_model, "KasuleTrevor/Qwen2-RUNY-Intent") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KasuleTrevor/Qwen2-RUNY-Intent: direct link, hf CLI and curl.
- Browser
- Download file 12 MB
-
https://huggingface.co/KasuleTrevor/Qwen2-RUNY-Intent/resolve/main/tokenizer.json
- Command line
-
hf download hf://KasuleTrevor/Qwen2-RUNY-Intent/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KasuleTrevor/Qwen2-RUNY-Intent/resolve/main/tokenizer.json
12 MB
- Xet hash:
- 4926b1176afcb661a88fb30bb1a196c052e1ca3f93d4d0b1a7f927fafe979481
- Size of remote file:
- 12 MB
- SHA256:
- c219549df9934ac8fe67ce0419cf18530da3d3ff98c347a71614dc6a8310adeb
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