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 preprocessor_config.json from KasuleTrevor/Qwen2-RUNY-Intent: direct link, hf CLI and curl.
- Browser
- Download file 359 Bytes
-
https://huggingface.co/KasuleTrevor/Qwen2-RUNY-Intent/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://KasuleTrevor/Qwen2-RUNY-Intent/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/KasuleTrevor/Qwen2-RUNY-Intent/resolve/main/preprocessor_config.json
359 Bytes
| { | |
| "chunk_length": 30, | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "Qwen2AudioProcessor", | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |