Update README.md

README.md

@@ -1,3 +1,64 @@
 ---
 license: apache-2.0
+language:
+- fi
+tags:
+- speech-recognition
 ---
+
+Example how to use with whisper.cpp 
+
+```bash
+git clone https://github.com/ggerganov/whisper.cpp.git
+cd whisper.cpp
+
+git reset --hard 0b9af32a8b3fa7e2ae5f15a9a08f5b10394993f5
+make
+```
+
+```bash
+one of the following:
+./main -m ggml-model-fi-tiny.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi
+./main -m ggml-model-fi-medium.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi
+./main -m ggml-model-fi-large.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi
+./main -m ggml-model-fi-large-v3.bin -f INSERT_YOUR_FILENAME_HERE.wav -l fi
+```
+
+```bash
+Sample output should look something like this:
+
+
+(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
+whisper_init_from_file_with_params_no_state: loading model from 'ggml-model-fi-medium.bin'
+whisper_model_load: loading model
+whisper_model_load: n_vocab       = 51865
+whisper_model_load: n_audio_ctx   = 1500
+whisper_model_load: n_audio_state = 1024
+whisper_model_load: n_audio_head  = 16
+whisper_model_load: n_audio_layer = 24
+whisper_model_load: n_text_ctx    = 448
+whisper_model_load: n_text_state  = 1024
+whisper_model_load: n_text_head   = 16
+whisper_model_load: n_text_layer  = 24
+whisper_model_load: n_mels        = 80
+whisper_model_load: ftype         = 1
+whisper_model_load: qntvr         = 0
+whisper_model_load: type          = 4 (medium)
+whisper_model_load: adding 1608 extra tokens
+whisper_model_load: n_langs       = 99
+whisper_model_load:      CPU buffer size =  1533.52 MB
+whisper_model_load: model size    = 1533.14 MB
+whisper_init_state: kv self size  =  132.12 MB
+whisper_init_state: kv cross size =  147.46 MB
+whisper_init_state: compute buffer (conv)   =   25.61 MB
+whisper_init_state: compute buffer (encode) =  170.28 MB
+whisper_init_state: compute buffer (cross)  =    7.85 MB
+whisper_init_state: compute buffer (decode) =   98.32 MB
+
+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 | 
+
+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 ...
+
+
+[00:00:00.000 --> 00:00:09.000]  Moi, nimeni on Rasmus ja testaan tekoälymallia, joka tunnistaa puheeni ja kirjoittaa sen tekstiksi.
+```