Instructions to use kosamit/ccbeta-large-clone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosamit/ccbeta-large-clone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kosamit/ccbeta-large-clone")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kosamit/ccbeta-large-clone") model = AutoModelForSpeechSeq2Seq.from_pretrained("kosamit/ccbeta-large-clone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scaler.pt from kosamit/ccbeta-large-clone: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/kosamit/ccbeta-large-clone/resolve/main/scaler.pt
- Command line
-
hf download hf://kosamit/ccbeta-large-clone/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/kosamit/ccbeta-large-clone/resolve/main/scaler.pt
988 Bytes
- Xet hash:
- 07cb3fd1da9556f6591259047245a8cbe198f548a2794f8391ea7cb2240b1cb7
- Size of remote file:
- 988 Bytes
- SHA256:
- 1e56bcc36e393e06c2779c5ed33c8eb378d4a0ad753b31a3ab5e808f429ed9a7
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