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 676
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-set14",
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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 sha256:17eda2c8a16c791d97cbb1ab86627b85061703c1e3df7e166813588baae30adb
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size 966995080
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runs/Jul02_01-17-52_node0/events.out.tfevents.1719907701.node0.356.60
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version https://git-lfs.github.com/spec/v1
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oid sha256:74d47a7ae3d79a8d08ac27d03c864bc54b83ecd5aec4c98029a36e933799ba92
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size 11668
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