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 scheduler.pt from kosamit/ccbeta-large-clone: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/kosamit/ccbeta-large-clone/resolve/main/scheduler.pt
- Command line
-
hf download hf://kosamit/ccbeta-large-clone/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/kosamit/ccbeta-large-clone/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 37dc54a2dbaedb24a8e7ce9e5309105880f871725a0614b04de9a29845e5c5f0
- Size of remote file:
- 1.06 kB
- SHA256:
- d1c7fbd5c6841a6b6819887b03bd15337e058eb9217696c545e95871ef15fd7e
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