Instructions to use kosamit/ccbeta-base-clone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosamit/ccbeta-base-clone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kosamit/ccbeta-base-clone")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kosamit/ccbeta-base-clone") model = AutoModelForSpeechSeq2Seq.from_pretrained("kosamit/ccbeta-base-clone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scaler.pt from kosamit/ccbeta-base-clone: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/kosamit/ccbeta-base-clone/resolve/main/scaler.pt
- Command line
-
hf download hf://kosamit/ccbeta-base-clone/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/kosamit/ccbeta-base-clone/resolve/main/scaler.pt
988 Bytes
- Xet hash:
- 1a8bac4842fb62e1664c33e7a9ed105be2fb32a701a2c7917412fd90faaba8c5
- Size of remote file:
- 988 Bytes
- SHA256:
- ff0480ad63647a83a667a3c5ab44ff0c5494b260cd4cf60490db33b424cfb4e9
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