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Colab notebooks11/1/2022 ![]() ![]() How to train a language model from scratch Show how to preprocess the data and fine-tune a pretrained Speech model on Keyword Spotting How to fine-tune a model on audio classification Show how to preprocess the data and fine-tune a multi-lingually pretrained speech model on Common Voice How to fine-tune a speech recognition model in any language Show how to preprocess the data and fine-tune a pretrained Speech model on TIMIT How to fine-tune a speech recognition model in English Show how to preprocess the data and fine-tune a pretrained model on XSUM. How to fine-tune a model on summarization Show how to preprocess the data and fine-tune a pretrained model on WMT. Show how to preprocess the data and fine-tune a pretrained model on SWAG. How to fine-tune a model on multiple choice Show how to preprocess the data and fine-tune a pretrained model on SQUAD. How to fine-tune a model on question answering Show how to preprocess the data and fine-tune a pretrained model on a token classification task (NER, PoS). How to fine-tune a model on token classification Show how to preprocess the data and fine-tune a pretrained model on a causal or masked LM task. How to fine-tune a model on language modeling Show how to preprocess the data and fine-tune a pretrained model on any GLUE task. ![]() How to fine-tune a model on text classification How to train and use your very own tokenizer How to use the multilingual models of the library The differences between the tokenizers algorithm How to use the Trainer to fine-tune a pretrained model How to use a tokenizer to preprocess your data How to run the models of the Transformers library task by task You can open any page of the documentation as a notebook in colab (there is a button directly on said pages) but they are also listed here if you need to: NotebookĪ presentation of the various APIs in Transformers Pull Request so it can be included under the Community notebooks. If you wrote some notebook(s) leveraging □ Transformers and would like be listed here, please open a Here it is.īelow is an example of a Jupyter notebook that I have been working on for teaching people how to use the Jupyter notebook.You can find here a list of the official notebooks provided by Hugging Face.Īlso, we would like to list here interesting content created by the community. There is a workaround to the missing feature in Colab to save to HTML. COLAB NOTEBOOKS CODEBefore you get to the point of doing a dashboard or in my case adding the code functionality into a web app. I do all my data science work using Google Colab, a notebook is a great way to tell a story and to test out different analytics technics on your dataset. With WordPress you can add HTML code, the obvious choice would have been to save my Colab notebooks as HTML.Ĭolab at the moment does not have an option to save your Colab notebook to HTML, Jupyter Notebook has an option to ‘Download as’ HTML (or other) format. I have been looking at ways to include my notebooks in my WordPress site, as a way to show some of the work and help others that getting started. COLAB NOTEBOOKS FOR FREEWith Colab you can write and execute code, save and share your analyses, and access powerful computing resources, all for free from your browser. ![]() ![]() I have been doing a lot of work with creating Jupyter notebooks and collaborating with the Google Colab service, Colaboratory or short-form Colab is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud. ![]()
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