Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
audio
speech
Eval Results (legacy)
Eval Results
Instructions to use Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200") model = AutoModelForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200") - Notebooks
- Google Colab
- Kaggle
Inference with Language Model
#3
by 5hr3ya5 - opened
I tried to do inference of model with language model (available in the repo) as per the process given by:
https://huggingface.co/blog/wav2vec2-with-ngram
The process does not show any error.
However, the inference results are significantly degraded compared to inference without language model.
Even the output transcripts do not reflect any of the unigrams used for language model training, which is strange ! Any solution ?