Automatic Speech Recognition
Transformers
PyTorch
JAX
Malayalam
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use gvs/wav2vec2-large-xlsr-malayalam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gvs/wav2vec2-large-xlsr-malayalam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gvs/wav2vec2-large-xlsr-malayalam")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gvs/wav2vec2-large-xlsr-malayalam") model = AutoModelForCTC.from_pretrained("gvs/wav2vec2-large-xlsr-malayalam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Multilingual model — testing for mobile deployment
#2 opened about 1 month ago
by
3morixd
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot