Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
whisper
Generated from Trainer
Instructions to use antonvinny/whisper-tiny-anton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antonvinny/whisper-tiny-anton with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="antonvinny/whisper-tiny-anton")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("antonvinny/whisper-tiny-anton") model = AutoModelForSpeechSeq2Seq.from_pretrained("antonvinny/whisper-tiny-anton", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +2 -2
config.json
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{
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"_name_or_path": "
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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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"pad_token_id": 50257,
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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{
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"_name_or_path": "antonvinny/whisper-tiny-anton",
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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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"pad_token_id": 50257,
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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