Update README.md

README.md

@@ -1,3 +1,39 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- techiaith/banc-trawsgrifiadau-bangor
+- techiaith/commonvoice_18_0_cy
+language:
+- cy
+base_model:
+- openai/whisper-base
+pipeline_tag: automatic-speech-recognition
+---
+
+
+# whisper-base-ft-btb-cv-cy-cpp
+
+This model is a version of the [openai/whisper-base](https://huggingface.co/openai/whisper-base) model, finedtuned with transcriptions 
+of Welsh language spontaneous speech Banc Trawsgrifiadau Bangor (btb) ac well as recordings of read speach from Welsh Common Voice 
+version 18 (cv) for additional training, and then 
+[converted for use in whisper.cpp](https://github.com/ggerganov/whisper.cpp/tree/master/models#fine-tuned-models). Whispercpp is
+a C/C++ port of Whisper that provides high performance inference on offline hardware such as desktops, laptops and mobile devices. 
+
+The model is a smaller in size to the corresponding cloud hosted model 
+[techiaith/whisper-large-v3-ft-btb-cv-cy](https://huggingface.co/techiaith/whisper-large-v3-ft-btb-cv-cy).
+It achieves the following WER results for transcribing Welsh language spontaneous speech: 
+
+ - Wer: 62.76
+ - Cer: 27.70
+
+
+## Usage
+
+whispercpp makes it easy to use models in many platforms and applications. See the 'examples' folder
+in the whispercpp github repo for more information and example code. 
+
+To get quickly started with whispercpp's basic usage however, follow the '[Quick Start](https://github.com/ggerganov/whisper.cpp?tab=readme-ov-file#quick-start)'
+but download this model with the following command:
+
+
+`$ wget https://huggingface.co/techiaith/whisper-base-ft-btb-cv-cy-cpp/resolve/main/ggml-model.bin`