Model Details
Full Model IDtheainerd/Wav2Vec2-large-xlsr-hindi
Pipeline / Taskautomatic-speech-recognition
Librarytransformers
Downloads (all-time)1.2M
Likes12
Last Modified4/1/2025
Author / Orgtheainerd
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("automatic-speech-recognition", model="theainerd/Wav2Vec2-large-xlsr-hindi")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchsafetensorswav2vec2automatic-speech-recognitionhibase_model:facebook/wav2vec2-large-xlsr-53base_model:finetune:facebook/wav2vec2-large-xlsr-53doi:10.57967/hf/8134endpoints_compatibleregion:us
More Speech Recognition Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎙️ Task: Speech Recognition
This model is designed for the Speech Recognition task. Explore more models for this use case.
All Speech Recognition Models →📊 Popularity
⬇ Downloads1.2M
❤️ Community Likes12
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.