Instructions to use chuuhtetnaing/whisper-medium-myanmar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chuuhtetnaing/whisper-medium-myanmar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chuuhtetnaing/whisper-medium-myanmar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("chuuhtetnaing/whisper-medium-myanmar") model = AutoModelForSpeechSeq2Seq.from_pretrained("chuuhtetnaing/whisper-medium-myanmar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chuuhtetnaing/whisper-medium-myanmar: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/chuuhtetnaing/whisper-medium-myanmar/resolve/main/training_args.bin
- Command line
-
hf download hf://chuuhtetnaing/whisper-medium-myanmar/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chuuhtetnaing/whisper-medium-myanmar/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 27a4aea1e6a9f529c94e242ea22f5b61ea2ed38ceccb6a72da9e632b90844d13
- Size of remote file:
- 4.73 kB
- SHA256:
- 5824e2aa20dc9e29c1d2c8e3a839e093421e5dbbfff1a1b24aaafc0597bd8d19
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