Automatic Speech Recognition
Transformers
PyTorch
Turkish
wav2vec2
common_voice
Generated from Trainer
Instructions to use patrickvonplaten/hello_2b_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/hello_2b_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/hello_2b_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("patrickvonplaten/hello_2b_2") model = AutoModelForCTC.from_pretrained("patrickvonplaten/hello_2b_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from patrickvonplaten/hello_2b_2: direct link, hf CLI and curl.
- Browser
- Download file 8.64 GB
-
https://huggingface.co/patrickvonplaten/hello_2b_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://patrickvonplaten/hello_2b_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/patrickvonplaten/hello_2b_2/resolve/main/pytorch_model.bin
8.64 GB
- Xet hash:
- 1db8b0b55502dcc2fd717e60978fb7aaa9bbcb1cdbfe2b965e22fa6d6d61fae7
- Size of remote file:
- 8.64 GB
- SHA256:
- 6213fce64f01c17815e2cd04c470a0679483c97fbb0271c8de9349ca1eaec1cb
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