Model Details
Full Model IDgigant/romanian-wav2vec2
Pipeline / Taskautomatic-speech-recognition
Librarytransformers
Downloads (all-time)2.8M
Likes7
Last Modified9/13/2023
Author / Orggigant
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="gigant/romanian-wav2vec2")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchsafetensorswav2vec2automatic-speech-recognitionhf-asr-leaderboardrobust-speech-eventrodataset:mozilla-foundation/common_voice_8_0dataset:gigant/romanian_speech_synthesis_0_8_1base_model:facebook/wav2vec2-xls-r-300mbase_model:finetune:facebook/wav2vec2-xls-r-300mlicense:apache-2.0model-indexendpoints_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
⬇ Downloads2.8M
❤️ Community Likes7
🛠️ 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.