Automatic Speech Recognition
Transformers
Safetensors
English
Chinese
glmasr
text2text-generation
Eval Results
Instructions to use ConsHein/GLM-ASR-Nano-2512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConsHein/GLM-ASR-Nano-2512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ConsHein/GLM-ASR-Nano-2512")# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("ConsHein/GLM-ASR-Nano-2512") model = AutoModelForSeq2SeqLM.from_pretrained("ConsHein/GLM-ASR-Nano-2512") - Notebooks
- Google Colab
- Kaggle
File size: 537 Bytes
d5f0df5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"audio_token": "<|pad|>",
"default_transcription_prompt": "Please transcribe this audio into text",
"feature_extractor": {
"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,
"return_attention_mask": false,
"sampling_rate": 16000
},
"max_audio_len": 655,
"processor_class": "GlmAsrProcessor"
}
|