Instructions to use pius-code/asha_twi_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pius-code/asha_twi_adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pius-code/asha_twi_adapter")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pius-code/asha_twi_adapter") model = AutoModelForCTC.from_pretrained("pius-code/asha_twi_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50
Browse files- config.json +3 -3
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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"num_hidden_layers": 48,
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"num_negatives": 100,
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"output_hidden_size": 1280,
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"pad_token_id":
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"proj_codevector_dim": 1024,
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"tdnn_dilation": [
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"transformers_version": "5.13.
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"use_cache": false,
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"use_weighted_layer_sum": false,
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"vocab_size":
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"xvector_output_dim": 512
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}
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"num_hidden_layers": 48,
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"num_negatives": 100,
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"output_hidden_size": 1280,
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"pad_token_id": 52,
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"proj_codevector_dim": 1024,
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"tdnn_dilation": [
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"transformers_version": "5.13.1",
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"use_cache": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 55,
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"xvector_output_dim": 512
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}
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model.safetensors
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training_args.bin
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