Instructions to use eengel7/train_first_try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eengel7/train_first_try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eengel7/train_first_try")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eengel7/train_first_try") model = AutoModelForSpeechSeq2Seq.from_pretrained("eengel7/train_first_try") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:3d4c2b3066ce69a4fc124e501c55e93edf78eba1d4e7a431527cb7a12e9f84e5
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size 966995080
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