Instructions to use speech31/XLS-R-300m-tamil-ipa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/XLS-R-300m-tamil-ipa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/XLS-R-300m-tamil-ipa")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/XLS-R-300m-tamil-ipa") model = AutoModelForCTC.from_pretrained("speech31/XLS-R-300m-tamil-ipa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from speech31/XLS-R-300m-tamil-ipa: direct link, hf CLI and curl.
- Browser
- Download file 2.49 GB
-
https://huggingface.co/speech31/XLS-R-300m-tamil-ipa/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://speech31/XLS-R-300m-tamil-ipa@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/speech31/XLS-R-300m-tamil-ipa/resolve/refs%2Fpr%2F1/optimizer.pt
2.49 GB
- Xet hash:
- 4f6bbdb0525926445d9433f0ba9932f6e058cd2234842786425d434e22b42c77
- Size of remote file:
- 2.49 GB
- SHA256:
- 86fb6c8e8c72fb44c88e5eb037c501bdad9057c468ed9349a8015af5bc28560b
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