Instructions to use ThomasFG/45-45-45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThomasFG/45-45-45 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ThomasFG/45-45-45")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ThomasFG/45-45-45") model = AutoModelForSpeechSeq2Seq.from_pretrained("ThomasFG/45-45-45", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ThomasFG/45-45-45: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/ThomasFG/45-45-45/resolve/main/model.safetensors
- Command line
-
hf download hf://ThomasFG/45-45-45/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ThomasFG/45-45-45/resolve/main/model.safetensors
967 MB
- Xet hash:
- fe774a656a85930fbe76787b72d774eac16b21efc2fdbe0d912467e6f5e841a1
- Size of remote file:
- 967 MB
- SHA256:
- d035662c226e529997d6976560446a7f7730a87990a5fb52854393ad1563ea92
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