Instructions to use emreguleryuz/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emreguleryuz/models-moved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emreguleryuz/models-moved")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("emreguleryuz/models-moved") model = AutoModelForCTC.from_pretrained("emreguleryuz/models-moved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from emreguleryuz/models-moved: direct link, hf CLI and curl.
- Browser
- Download file 153 MB
-
https://huggingface.co/emreguleryuz/models-moved/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://emreguleryuz/models-moved/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/emreguleryuz/models-moved/resolve/main/pytorch_model.bin
153 MB
- Xet hash:
- 4e86a220de8b6b94c74c7c43cbec1bd586c9fc1a9e0dd1eebffc34e023bf05ed
- Size of remote file:
- 153 MB
- SHA256:
- 578efb490f028fc26b198dbd3ec588bc083ef7d4bd8f5089ba1cb061bcf37c27
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