Automatic Speech Recognition
Transformers
Safetensors
Japanese
English
qwen3_asr
asr
japanese
qwen3-asr
speech
audio
Instructions to use neosophie/Qwen3-ASR-1.7B-JA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neosophie/Qwen3-ASR-1.7B-JA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="neosophie/Qwen3-ASR-1.7B-JA")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("neosophie/Qwen3-ASR-1.7B-JA") model = AutoModelForMultimodalLM.from_pretrained("neosophie/Qwen3-ASR-1.7B-JA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload fine-tuned v1
Browse files
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- ja
|
| 5 |
+
- en
|
| 6 |
+
library_name: transformers
|
| 7 |
+
base_model: Qwen/Qwen3-ASR-1.7B
|
| 8 |
+
pipeline_tag: automatic-speech-recognition
|
| 9 |
+
tags:
|
| 10 |
+
- automatic-speech-recognition
|
| 11 |
+
- asr
|
| 12 |
+
- japanese
|
| 13 |
+
- qwen3-asr
|
| 14 |
+
- speech
|
| 15 |
+
- audio
|
| 16 |
+
---
|
| 17 |
+
|
| 18 |
+
# Japanese Proper-Noun Fine-tuned Qwen3-ASR
|
| 19 |
+
|
| 20 |
+
A fine-tuned checkpoint of [`Qwen/Qwen3-ASR-1.7B`](https://huggingface.co/Qwen/Qwen3-ASR-1.7B) optimized for Japanese automatic speech recognition.
|
| 21 |
+
|
| 22 |
+
This variant is specifically trained to improve recognition of Japanese proper nouns, organization names, product names, service names, and kanji-heavy expressions that general-purpose ASR models tend to mistranscribe.
|
| 23 |
+
|
| 24 |
+
## Intended Use
|
| 25 |
+
|
| 26 |
+
Designed for Japanese ASR tasks requiring accurate transcription of:
|
| 27 |
+
|
| 28 |
+
- Proper nouns (people, places, organizations)
|
| 29 |
+
- Difficult or uncommon kanji spellings
|
| 30 |
+
- Company and product names
|
| 31 |
+
- Mixed Japanese/English technical terminology
|
| 32 |
+
|
| 33 |
+
### Example Normalizations
|
| 34 |
+
|
| 35 |
+
| Spoken (katakana) | Expected output |
|
| 36 |
+
| ----------------- | --------------- |
|
| 37 |
+
| ジェミニ | `Gemini` |
|
| 38 |
+
| アンスロピック | `Anthropic` |
|
| 39 |
+
| ノートブックLM | `NotebookLM` |
|
| 40 |
+
|
| 41 |
+
## Model Details
|
| 42 |
+
|
| 43 |
+
| | |
|
| 44 |
+
| --------------------- | -------------------------------------------- |
|
| 45 |
+
| **Base model** | `Qwen/Qwen3-ASR-1.7B` |
|
| 46 |
+
| **Task** | Automatic speech recognition |
|
| 47 |
+
| **Language** | Japanese (ja), English (en) |
|
| 48 |
+
| **Fine-tuning focus** | Japanese proper nouns & technical vocabulary |
|
| 49 |
+
|
| 50 |
+
## Quickstart
|
| 51 |
+
|
| 52 |
+
Install the runtime package:
|
| 53 |
+
|
| 54 |
+
```bash
|
| 55 |
+
pip install -U qwen-asr
|
| 56 |
+
```
|
| 57 |
+
|
| 58 |
+
Transcribe a local audio file:
|
| 59 |
+
|
| 60 |
+
```python
|
| 61 |
+
import torch
|
| 62 |
+
from qwen_asr import Qwen3ASRModel
|
| 63 |
+
|
| 64 |
+
model = Qwen3ASRModel.from_pretrained(
|
| 65 |
+
"neosophie/Qwen3-ASR-1.7B-JA",
|
| 66 |
+
dtype=torch.bfloat16,
|
| 67 |
+
device_map="cuda:0",
|
| 68 |
+
)
|
| 69 |
+
|
| 70 |
+
results = model.transcribe(audio="/path/to/audio.wav")
|
| 71 |
+
|
| 72 |
+
print(results[0].language)
|
| 73 |
+
print(results[0].text)
|
| 74 |
+
```
|
| 75 |
+
|
| 76 |
+
## Acknowledgments
|
| 77 |
+
|
| 78 |
+
- [Qwen3-ASR-1.7B](https://huggingface.co/Qwen/Qwen3-ASR-1.7B) — base model by Alibaba Cloud
|