Automatic Speech Recognition
Transformers
Safetensors
Japanese
qwen3_asr
japanese
qwen3-asr
lora-merged
noise-robustness
Instructions to use Junlaii/Bro-ASR-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Junlaii/Bro-ASR-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Junlaii/Bro-ASR-1.7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Junlaii/Bro-ASR-1.7B") model = AutoModelForMultimodalLM.from_pretrained("Junlaii/Bro-ASR-1.7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Junlaii/Bro-ASR-1.7B: direct link, hf CLI and curl.
- Browser
- Download file 160 Bytes
-
https://huggingface.co/Junlaii/Bro-ASR-1.7B/resolve/main/generation_config.json
- Command line
-
hf download hf://Junlaii/Bro-ASR-1.7B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Junlaii/Bro-ASR-1.7B/resolve/main/generation_config.json
160 Bytes
| { | |
| "do_sample": false, | |
| "eos_token_id": [ | |
| 151643, | |
| 151645 | |
| ], | |
| "max_new_tokens": 512, | |
| "pad_token_id": 151645, | |
| "transformers_version": "5.14.1" | |
| } | |