Automatic Speech Recognition
Transformers
Safetensors
qwen3_asr
speech
asr
indian-languages
indic
multilingual
heep
Instructions to use bc7ec356/heep-indic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bc7ec356/heep-indic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bc7ec356/heep-indic")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bc7ec356/heep-indic") model = AutoModelForMultimodalLM.from_pretrained("bc7ec356/heep-indic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 330 Bytes
57ed805 | 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
} |