Instructions to use arthoho66/model_005_2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arthoho66/model_005_2000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arthoho66/model_005_2000")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arthoho66/model_005_2000") model = AutoModelForSpeechSeq2Seq.from_pretrained("arthoho66/model_005_2000") - 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 sha256:6abe0725573c6d7510c6e3a677fa20cdb567e8e76045473ea546433506641e89
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size 3055544304
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