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--- |
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license: apache-2.0 |
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language: |
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- fi |
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tags: |
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- speech-recognition |
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--- |
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Example how to use with whisper.cpp |
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```bash |
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git clone https://github.com/ggerganov/whisper.cpp.git |
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cd whisper.cpp |
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git reset --hard 0b9af32a8b3fa7e2ae5f15a9a08f5b10394993f5 |
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make |
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``` |
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```bash |
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one of the following: |
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./main -m ggml-model-fi-tiny.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi |
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./main -m ggml-model-fi-medium.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi |
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./main -m ggml-model-fi-large.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi |
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./main -m ggml-model-fi-large-v3.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi |
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``` |
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```bash |
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Sample output should look something like this: |
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(finetuneEnv) rasmus@DESKTOP-59O9VN1:/mnt/f/Omat_opiskelut/whisper_transformaatio/whisper.cpp$ ./main -m ggml-model-fi-medium.bin -f oma_nauhoitus_16khz.wav -l fi |
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whisper_init_from_file_with_params_no_state: loading model from 'ggml-model-fi-medium.bin' |
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whisper_model_load: loading model |
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whisper_model_load: n_vocab = 51865 |
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whisper_model_load: n_audio_ctx = 1500 |
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whisper_model_load: n_audio_state = 1024 |
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whisper_model_load: n_audio_head = 16 |
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whisper_model_load: n_audio_layer = 24 |
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whisper_model_load: n_text_ctx = 448 |
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whisper_model_load: n_text_state = 1024 |
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whisper_model_load: n_text_head = 16 |
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whisper_model_load: n_text_layer = 24 |
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whisper_model_load: n_mels = 80 |
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whisper_model_load: ftype = 1 |
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whisper_model_load: qntvr = 0 |
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whisper_model_load: type = 4 (medium) |
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whisper_model_load: adding 1608 extra tokens |
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whisper_model_load: n_langs = 99 |
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whisper_model_load: CPU buffer size = 1533.52 MB |
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whisper_model_load: model size = 1533.14 MB |
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whisper_init_state: kv self size = 132.12 MB |
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whisper_init_state: kv cross size = 147.46 MB |
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whisper_init_state: compute buffer (conv) = 25.61 MB |
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whisper_init_state: compute buffer (encode) = 170.28 MB |
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whisper_init_state: compute buffer (cross) = 7.85 MB |
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whisper_init_state: compute buffer (decode) = 98.32 MB |
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system_info: n_threads = 4 / 8 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | METAL = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | CUDA = 0 | COREML = 0 | OPENVINO = 0 | |
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main: processing 'oma_nauhoitus_16khz.wav' (144160 samples, 9.0 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = fi, task = transcribe, timestamps = 1 ... |
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[00:00:00.000 --> 00:00:09.000] Moi, nimeni on Rasmus ja testaan tekoälymallia, joka tunnistaa puheeni ja kirjoittaa sen tekstiksi. |
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``` |
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