Automatic Speech Recognition
Transformers
Safetensors
hima_asr
feature-extraction
speech
asr
speech-recognition
indic
india
multilingual
code-switching
custom_code
Eval Results (legacy)
Instructions to use Prahaladha/hima-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prahaladha/hima-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Prahaladha/hima-asr", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prahaladha/hima-asr", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
14 days ago
-
card: Sarvam Saaras v3 column on every benchmark
Verified signature6e5923d -
Hima-ASR release
37f8418