Automatic Speech Recognition
Transformers
Safetensors
qwen3_asr
text-generation
speech-to-text
asr
multilingual
audio
vllm
qwen
Instructions to use Jetlink/JetlinkSTT-3-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jetlink/JetlinkSTT-3-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jetlink/JetlinkSTT-3-1.7B")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Jetlink/JetlinkSTT-3-1.7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 330 Bytes
c5d30a1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"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": "Qwen3ASRProcessor",
"return_attention_mask": true
} |