Update README.md

README.md

@@ -14,7 +14,9 @@ tags:
 - speech
 ---
 
-# GigaAM-v2-CTC Hugging Face transformers
+[![Finetune In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/waveletdeboshir/c01334561f23c5167598b2054e50839a/gigaam-ctc-hf-finetune.ipynb)
+
+# GigaAM-v2-CTC 🤗 Hugging Face transformers
 
 * original git https://github.com/salute-developers/GigaAM
 
@@ -25,8 +27,6 @@ This is an original GigaAM-v2-CTC with `transformers` library interface.
 
 File [`gigaam_transformers.py`](https://huggingface.co/waveletdeboshir/gigaam-ctc/blob/main/gigaam_transformers.py) contains model, feature extractor and tokenizer classes with usual transformers methods. Model can be initialized with transformers auto classes (see an example below).
 
-<!-- Jupyter `GigaAMHFTrain.ipynb` contains training pipeline with `transformers`. -->
-
 ## Installation
 
 my lib versions:
@@ -64,5 +64,6 @@ transcription = processor.batch_decode(greedy_ids)[0]
 
 ```
 
-## Fine tune
-todo
+## Fine-tune
+[![Finetune In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/waveletdeboshir/c01334561f23c5167598b2054e50839a/gigaam-ctc-hf-finetune.ipynb)
+[Fine-tuning Jupyter](https://gist.github.com/waveletdeboshir/c01334561f23c5167598b2054e50839a)