Instructions to use 275Gameplay/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 275Gameplay/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="275Gameplay/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("275Gameplay/test") model = AutoModelForCTC.from_pretrained("275Gameplay/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from 275Gameplay/test: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/275Gameplay/test/resolve/main/scheduler.pt
- Command line
-
hf download hf://275Gameplay/test/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/275Gameplay/test/resolve/main/scheduler.pt
623 Bytes
- Xet hash:
- 98109f1ac81c6bd14120a6b802f2350364a72a740a9b1e5160faff6c273107c3
- Size of remote file:
- 623 Bytes
- SHA256:
- bcca0f04b881ae352142e4125b87554350b4c4da16f3466c4aae304426db8f38
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