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") - Notebooks
- Google Colab
- Kaggle
can you list all of the avialable languages in this ASR model?
you have not provided the list of all available languages in this ASR model
Thank you for reaching out, the list of languages are listed below:
Note: To use these languages you'll need to add these languages inside the python qwen3asr package 's utils in the language array.
Hindi
Bengali
Telugu
Marathi
Kannada
Tamil
Malayalam
Gujarati
Panjabi
Oriya
Assamese
English
Urdu
Kashmiri
Nepali
Sindhi
Sanskrit
Maithili
Bhojpuri
Magahi
Chhattisgarhi
Rajasthani
Dogri (macrolanguage)
Konkani (macrolanguage)
Santali
Bodo (India)
Manipuri
Garo
Marwari (India)
Haryanvi
Awadhi
Braj
Garhwali
Lambadi
Bhili
Bagri
Kumaoni
Kangri
Bagheli
Nimadi
Rajbanshi
Marwari
Mewari
Wagdi
Hadothi
Goan Konkani
Ahirani
Surgujia
Kurukh
Mundari
Sambalpuri
Kachhi
Tulu
Kodava
Sadri
thanku soo much for your response