Instructions to use bezzam/tiny-processor-qwen3asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bezzam/tiny-processor-qwen3asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bezzam/tiny-processor-qwen3asr")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bezzam/tiny-processor-qwen3asr") model = AutoModelForMultimodalLM.from_pretrained("bezzam/tiny-processor-qwen3asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 165 Bytes
d8a1dd3 | 1 2 3 4 5 6 7 8 9 10 11 | {
"do_sample": false,
"eos_token_id": [
151643,
151645
],
"max_new_tokens": 512,
"pad_token_id": 151645,
"transformers_version": "5.13.0.dev0"
}
|