Updated Compute

README.md

@@ -21,7 +21,7 @@ Pruned Stateless Zipformer RNN-T Streaming ID is an automatic speech recognition
 
 Instead of being trained to predict sequences of words, this model was trained to predict sequence of phonemes, e.g. `['p', 'ə', 'r', 'b', 'u', 'a', 't', 'a', 'n', 'ɲ', 'a']`. Therefore, the model's [vocabulary](https://huggingface.co/bookbot/pruned-transducer-stateless7-streaming-id/blob/main/data/lang_phone/tokens.txt) contains the different IPA phonemes found in [g2p ID](https://github.com/bookbot-kids/g2p_id).
 
-This model was trained using [icefall](https://github.com/k2-fsa/icefall) framework. All training was done on a Google Cloud Engine VM with a Tesla A100 GPU. All necessary scripts used for training could be found in the [Files and versions](https://huggingface.co/bookbot/pruned-transducer-stateless7-streaming-id/tree/main) tab, as well as the [Training metrics](https://huggingface.co/bookbot/pruned-transducer-stateless7-streaming-id/tensorboard) logged via Tensorboard.
+This model was trained using [icefall](https://github.com/k2-fsa/icefall) framework. All training was done on a Scaleway RENDER-S VM with a Tesla P100 GPU. All necessary scripts used for training could be found in the [Files and versions](https://huggingface.co/bookbot/pruned-transducer-stateless7-streaming-id/tree/main) tab, as well as the [Training metrics](https://huggingface.co/bookbot/pruned-transducer-stateless7-streaming-id/tensorboard) logged via Tensorboard.
 
 ## Evaluation Results