Instructions to use nectec/Pathumma-whisper-th-large-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nectec/Pathumma-whisper-th-large-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nectec/Pathumma-whisper-th-large-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nectec/Pathumma-whisper-th-large-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("nectec/Pathumma-whisper-th-large-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nectec/Pathumma-whisper-th-large-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/nectec/Pathumma-whisper-th-large-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://nectec/Pathumma-whisper-th-large-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nectec/Pathumma-whisper-th-large-v3/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 3f784b54731d536a17661e76ee08b37eb3e230a06bb9a54bb4b3c9e4ced553f8
- Size of remote file:
- 5.43 kB
- SHA256:
- c8c978d4d0ead4eb94169091449d57068c6d835d54225aae97ecd144a16878f0
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