Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
indic-asr
fine-tuned
Instructions to use adalat-ai/whisper-medium-hi-rmft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adalat-ai/whisper-medium-hi-rmft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="adalat-ai/whisper-medium-hi-rmft")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("adalat-ai/whisper-medium-hi-rmft") model = AutoModelForSpeechSeq2Seq.from_pretrained("adalat-ai/whisper-medium-hi-rmft") - Notebooks
- Google Colab
- Kaggle
Add library_name and pipeline_tag metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team. This PR improves the model card's metadata by:
- Adding
library_name: transformersbased on the provided usage code. - Adding
pipeline_tag: automatic-speech-recognitionfor better discoverability. - Linking the model card to the corresponding research paper on the Hugging Face Hub.
These additions enable features like the "Use in Transformers" button and ensure the model appears in the correct task category.
kavyamanohar changed pull request status to merged