Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Thai
whisper
whisper-event
Generated from Trainer
Instructions to use napatswift/wp-th-cv-run-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use napatswift/wp-th-cv-run-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="napatswift/wp-th-cv-run-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("napatswift/wp-th-cv-run-1") model = AutoModelForSpeechSeq2Seq.from_pretrained("napatswift/wp-th-cv-run-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from napatswift/wp-th-cv-run-1: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/napatswift/wp-th-cv-run-1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://napatswift/wp-th-cv-run-1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/napatswift/wp-th-cv-run-1/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 20f6685a89b983007ac7d8ea1460456dfd04418b68d58641f4f6cf37ec821960
- Size of remote file:
- 151 MB
- SHA256:
- 33a015445d0d6d4f14f7a5ce11d98b51b54629a25de5a6364e89edecca8ef5eb
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