Instructions to use TopSlayer/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopSlayer/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TopSlayer/model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TopSlayer/model") model = AutoModelForCTC.from_pretrained("TopSlayer/model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 60
Browse files- config.json +2 -2
- model.safetensors +2 -2
- preprocessor_config.json +1 -1
- runs/Jul12_15-51-36_cs-01jzzm6mjg9knp4938473ez5qz/events.out.tfevents.1752335689.cs-01jzzm6mjg9knp4938473ez5qz.8495.0 +3 -0
- runs/Jul16_07-56-11_cs-01k08zhdq04sw8112wbpjr16rx/events.out.tfevents.1752652571.cs-01k08zhdq04sw8112wbpjr16rx.23741.0 +3 -0
- training_args.bin +1 -1
config.json
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@@ -77,7 +77,7 @@
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id":
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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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": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id": 26,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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"use_weighted_layer_sum": false,
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"vocab_size": 29,
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"xvector_output_dim": 512
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}
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a678a13656dea0d8e9f976cfcc6a79fb0fd10353baeab650a0bc0dd541c56a0
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size 1261926380
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preprocessor_config.json
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask":
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"sampling_rate": 16000
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}
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/Jul12_15-51-36_cs-01jzzm6mjg9knp4938473ez5qz/events.out.tfevents.1752335689.cs-01jzzm6mjg9knp4938473ez5qz.8495.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea84fa613d7a3a7d37eecc818897a60ae8ea048c910c699cdd6f8a120c71eb76
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size 59320
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runs/Jul16_07-56-11_cs-01k08zhdq04sw8112wbpjr16rx/events.out.tfevents.1752652571.cs-01k08zhdq04sw8112wbpjr16rx.23741.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e5580a6fe1b427946495d5014cc144586bcf6f54ce389dffcdb945f3fab7a82e
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size 6908
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5713
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a4b4cf9f88fc1c798517c115eca865f39e1d5d66b87e06191b37e63a478c20b
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size 5713
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