whisperkittools-a8c3cdeab8da5d76a7b952aa74ffebfbcd44804b generated files: openai_whisper-tiny.en
Browse files- openai_whisper-tiny.en/MelSpectrogram.mlmodelc/analytics/coremldata.bin +1 -1
- openai_whisper-tiny.en/MelSpectrogram.mlmodelc/coremldata.bin +1 -1
- openai_whisper-tiny.en/MelSpectrogram.mlmodelc/metadata.json +2 -2
- openai_whisper-tiny.en/MelSpectrogram.mlmodelc/model.mil +1 -1
- openai_whisper-tiny.en/MelSpectrogram.mlmodelc/weights/weight.bin +1 -1
- openai_whisper-tiny.en/TextDecoder.mlmodelc/analytics/coremldata.bin +1 -1
- openai_whisper-tiny.en/TextDecoder.mlmodelc/coremldata.bin +1 -1
- openai_whisper-tiny.en/TextDecoder.mlmodelc/metadata.json +1 -1
- openai_whisper-tiny.en/TextDecoder.mlmodelc/model.mil +1 -1
- openai_whisper-tiny.en/TextDecoder.mlmodelc/weights/weight.bin +1 -1
openai_whisper-tiny.en/MelSpectrogram.mlmodelc/analytics/coremldata.bin
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openai_whisper-tiny.en/MelSpectrogram.mlmodelc/coremldata.bin
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openai_whisper-tiny.en/MelSpectrogram.mlmodelc/metadata.json
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},
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.source_dialect" : "TorchScript",
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"com.github.apple.coremltools.
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"com.github.apple.coremltools.
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},
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"inputSchema" : [
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{
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.source_dialect" : "TorchScript",
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"com.github.apple.coremltools.version" : "7.2",
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"com.github.apple.coremltools.source" : "torch==2.3.1"
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},
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"inputSchema" : [
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{
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openai_whisper-tiny.en/MelSpectrogram.mlmodelc/model.mil
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program(1.0)
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[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.3.
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{
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func main<ios16>(tensor<fp16, [480000]> audio) {
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tensor<int32, [3]> var_10 = const()[name = tensor<string, []>("op_10"), val = tensor<int32, [3]>([1, 1, 480000])];
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program(1.0)
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[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.3.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.2"}})]
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{
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func main<ios16>(tensor<fp16, [480000]> audio) {
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tensor<int32, [3]> var_10 = const()[name = tensor<string, []>("op_10"), val = tensor<int32, [3]>([1, 1, 480000])];
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openai_whisper-tiny.en/MelSpectrogram.mlmodelc/weights/weight.bin
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openai_whisper-tiny.en/TextDecoder.mlmodelc/analytics/coremldata.bin
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version https://git-lfs.github.com/spec/v1
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openai_whisper-tiny.en/TextDecoder.mlmodelc/coremldata.bin
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openai_whisper-tiny.en/TextDecoder.mlmodelc/metadata.json
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@@ -84,7 +84,7 @@
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},
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.source_dialect" : "TorchScript",
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"com.github.apple.coremltools.source" : "torch==2.3.
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"com.github.apple.coremltools.version" : "7.2"
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"inputSchema" : [
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.version" : "7.2"
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},
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"inputSchema" : [
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openai_whisper-tiny.en/TextDecoder.mlmodelc/model.mil
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program(1.0)
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-
[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.3.
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{
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func main<ios16>(tensor<int32, [1]> cache_length, tensor<fp16, [1, 448]> decoder_key_padding_mask, tensor<fp16, [1, 384, 1, 1500]> encoder_output_embeds, tensor<int32, [1]> input_ids, tensor<fp16, [1, 1536, 1, 448]> key_cache, tensor<fp16, [1, 448]> kv_cache_update_mask, tensor<fp16, [1, 1536, 1, 448]> value_cache) {
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tensor<int32, []> var_24_axis_0 = const()[name = tensor<string, []>("op_24_axis_0"), val = tensor<int32, []>(0)];
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program(1.0)
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[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.3.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.2"}})]
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{
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func main<ios16>(tensor<int32, [1]> cache_length, tensor<fp16, [1, 448]> decoder_key_padding_mask, tensor<fp16, [1, 384, 1, 1500]> encoder_output_embeds, tensor<int32, [1]> input_ids, tensor<fp16, [1, 1536, 1, 448]> key_cache, tensor<fp16, [1, 448]> kv_cache_update_mask, tensor<fp16, [1, 1536, 1, 448]> value_cache) {
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tensor<int32, []> var_24_axis_0 = const()[name = tensor<string, []>("op_24_axis_0"), val = tensor<int32, []>(0)];
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openai_whisper-tiny.en/TextDecoder.mlmodelc/weights/weight.bin
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