Instructions to use maxseats/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxseats/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maxseats/tmp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maxseats/tmp") model = AutoModelForSpeechSeq2Seq.from_pretrained("maxseats/tmp") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 656
Browse files
config.json
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{
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"_name_or_path": "maxseats/SungBeom-whisper-small-ko-
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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{
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"_name_or_path": "maxseats/SungBeom-whisper-small-ko-set16",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 966995080
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version https://git-lfs.github.com/spec/v1
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oid sha256:30f16416336e29320bf67735416d5aae17b47c0b160fe5e0517efcf00dfcd8c9
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size 966995080
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runs/Jul02_01-17-52_node0/events.out.tfevents.1719922003.node0.356.64
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version https://git-lfs.github.com/spec/v1
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oid sha256:72faf7ef1f9ffda589b93009e537a5cfb62dd3ac4ab9ece6144304c5d17f3cee
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size 11457
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