Automatic Speech Recognition
Transformers
Safetensors
qwen3_asr
qwen3
forced-alignment
word-timestamps
multilingual
subtitle-alignment
robust-alignment
code-switching
Instructions to use fengjay01/Qwen3-ForcedAligner-Ultra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fengjay01/Qwen3-ForcedAligner-Ultra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fengjay01/Qwen3-ForcedAligner-Ultra")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("fengjay01/Qwen3-ForcedAligner-Ultra") model = AutoModelForMultimodalLM.from_pretrained("fengjay01/Qwen3-ForcedAligner-Ultra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fengjay01/Qwen3-ForcedAligner-Ultra: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/fengjay01/Qwen3-ForcedAligner-Ultra/resolve/main/tokenizer.json
- Command line
-
hf download hf://fengjay01/Qwen3-ForcedAligner-Ultra/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fengjay01/Qwen3-ForcedAligner-Ultra/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 56a33d3aa1952e760e1dd70c58795e68d1062990039527e3dba7adbe4cee62db
- Size of remote file:
- 11.4 MB
- SHA256:
- 90934377d8ceace196d3c8f872df96c8b48c6206f019b65e4ac631c04ee18f59
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