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in the tutorial this is how ForecastDFDataset is used: train_dataset = ForecastDFDataset( time_series_processor.preprocess(train_data), id_columns=id_columns, timestamp_column="date", **input_columns=forecast_columns, output_columns=forecast_columns,** context_length=context_length, prediction_length=forecast_horizon, ) but input_columns and output_columns are no longer valid parameters. What...
This PR is a draft for the blog post on implementation of Tree of Thoughts. This PR works on this [issue](https://github.com/huggingface/transformers/issues/26726#issuecomment-1776906537). Next steps: - [x] Add search algorithm - [x]...
Hey there :space_invader: Here's an article on why and how to replace current tokenizers. The model behind it is called `tokun`: it specializes in text embeddings. It produces much denser...
Thanks for the detailed blog post on "Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers". After going through the article and also created a fine-tune model for my own application,...
The tutorial shows how to run evaluation but is missing a bare bone example of how to use the model to run inference .
Hi @lewtun , this is our blog for the [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval). Could you help us check the article and see whether there are something that can be added for example user...
I set atttentionmask to None, but the model doesn't learned well, my inputs didn't padded so I dont want attention mask. How to resolve this? I also tried add a...
