Example: A global airline can use Phi-3.5 to power its customer service bot. Passengers from different countries can inquire about their flight status or baggage policies in their native languages—whether it's Japanese, Hindi, or Portuguese—and the model responds accurate...
Yes Zombi, Baluta, Uchalya changed the way I thought about merit — that elusive word people like me hid behind to protect our privilege of being born in families that treasured education and had the means to pass it on to their children. I cried, copiously,reading Ta-Nehisi Coates, years...
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To reduce our models memory footprint, we load the model in 8bit, this means we quantize the model to use 1/4th precision (when compared to float32) with minimal loss to performance. To read more about how this works, head over here. from transformers import WhisperForConditionalGeneration...
At this point, we want to check the distribution of categories in the train set. X_train.status.value_counts() Powered By You can see below that we have almost an equal distribution of "Normal" and "Depression" categories. The rest of the labels are in the minority. This means our...
This means:"If my friends do not come or we do not go for a picnic, then the weather is not fine." Final AnswerThe contrapositive of the statement "If the weather is fine then my friends will come and we go for a picnic" is:"If my friends do not come or we do not go for a...
While the fine-tuned model yields satisfactory results on the Common Voice Hindi test data, it is by no means optimal. The purpose of this notebook is to demonstrate how the pre-trained Whisper checkpoints can be fine-tuned on any multilingual ASR dataset. The results could likely...
While the fine-tuned model yields satisfactory results on the Common Voice Hindi test data, it is by no means optimal. The purpose of this notebook is to demonstrate how the pre-trained Whisper checkpoints can be fine-tuned on any multilingual ASR dataset. The results could likely be improve...
This means it will have to rebuild the Python environment. Note, you may have to run this step twice, as it has to exit the current Python environment, then you have to re-load atsetup and select Delete AllTalk's custom Python environment again. You can now use atsetup to Install ...
Recent work demonstrates the potential of multilingual pretraining of creating one model that can be used for various tasks in different languages. Previous work in multilingual pretraining has demonstrated that machine translation systems can be created by finetuning on bitext. In this work, we ...