Instructions to use tensorops/whisper-tiny-th-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorops/whisper-tiny-th-v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorops/whisper-tiny-th-v7")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorops/whisper-tiny-th-v7") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorops/whisper-tiny-th-v7") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2c65d71aa78b10cfa5678c93ef7d2e25519001b7b9f255ccf1c5bd473d850bc
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size 151061672
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