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 scaler.pt from mgtoxd/machineLearningCourse: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/mgtoxd/machineLearningCourse/resolve/main/scaler.pt
- Command line
-
hf download hf://mgtoxd/machineLearningCourse/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/mgtoxd/machineLearningCourse/resolve/main/scaler.pt
559 Bytes
- Xet hash:
- 5b3ecf3d9da1397c92c45c2d2e66ad4d27e7c120ed625495ebb824028a2047ca
- Size of remote file:
- 559 Bytes
- SHA256:
- d6cc39bb03982f702acecfed4016e22c45ed660765a892634670fed905013c55
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