Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Sanskrit
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Srikanthr2/whisper-medium-sanskasr-37000-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srikanthr2/whisper-medium-sanskasr-37000-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Srikanthr2/whisper-medium-sanskasr-37000-V1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Srikanthr2/whisper-medium-sanskasr-37000-V1") model = AutoModelForSpeechSeq2Seq.from_pretrained("Srikanthr2/whisper-medium-sanskasr-37000-V1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened almost 3 years ago
by
librarian-bot