Automatic Speech Recognition
Transformers
PyTorch
JAX
Tamil
wav2vec2
audio
speech
xlsr-fine-tuning-week
hf-asr-leaderboard
tamil language
Eval Results (legacy)
Instructions to use Gobee/Wav2vec2-Large-XLSR-Tamil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gobee/Wav2vec2-Large-XLSR-Tamil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gobee/Wav2vec2-Large-XLSR-Tamil")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Gobee/Wav2vec2-Large-XLSR-Tamil") model = AutoModelForCTC.from_pretrained("Gobee/Wav2vec2-Large-XLSR-Tamil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Gobee/Wav2vec2-Large-XLSR-Tamil: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/Gobee/Wav2vec2-Large-XLSR-Tamil/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Gobee/Wav2vec2-Large-XLSR-Tamil/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Gobee/Wav2vec2-Large-XLSR-Tamil/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- d56415190bb8e082d3a52ff985ea67ef29de0780d7a3b7921930d1a7cf9f2023
- Size of remote file:
- 1.26 GB
- SHA256:
- dd8289175c6f67ed345dedb7f2854e99f6bf7137404fccae49498e49be415266
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