Instructions to use mgtoxd/machineLearningCourse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgtoxd/machineLearningCourse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mgtoxd/machineLearningCourse")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mgtoxd/machineLearningCourse") model = AutoModelForCTC.from_pretrained("mgtoxd/machineLearningCourse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from mgtoxd/machineLearningCourse: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/mgtoxd/machineLearningCourse/resolve/main/rng_state.pth
- Command line
-
hf download hf://mgtoxd/machineLearningCourse/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/mgtoxd/machineLearningCourse/resolve/main/rng_state.pth
14.6 kB
- Xet hash:
- befeb550db148c7ee88ed68e6d22d8f10cfa7b6e11fe5816ee613816c4445da0
- Size of remote file:
- 14.6 kB
- SHA256:
- 528bc3fc8c38e000630377e0cedd7d8ab65a2802b96dd640fccfa096eb42e4b7
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