Instructions to use DazMashaly/new_downloads with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DazMashaly/new_downloads with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DazMashaly/new_downloads")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DazMashaly/new_downloads") model = AutoModelForSpeechSeq2Seq.from_pretrained("DazMashaly/new_downloads", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
Browse files
config.json
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{
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"_name_or_path": "/kaggle/working/new_downloads/checkpoint-
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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": "/kaggle/working/new_downloads/checkpoint-3681",
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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 290403936
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d697bdb659dc921f076cb6aeaff13356315d379d4ba492520f2b7ab1e553fee
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size 290403936
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runs/Jun26_22-33-33_59843256443d/events.out.tfevents.1719441215.59843256443d.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f2f0489db056fe60de3b4d0171e6b8751c4f7418eabe60f174cd36381a33c2e
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size 10395
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training_args.bin
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size 5304
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version https://git-lfs.github.com/spec/v1
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size 5304
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