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Parag Ekbote PRO

AINovice2005
danielhanchen's profile picture branikita's profile picture venturespace's profile picture
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https://paragekbote.github.io/

AI & ML interests

ML Engineer passionate about taking models from research to production. 1 year supporting tech startups. Active OSS contributor.

Recent Activity

posted an update about 7 hours ago
I recently created my first storage bucket to store experiment data of my performance analysis of 15 tokenizers across 20 languages. The setup is simple enough for a new product and can be scalable depending on the use-case 🤗 . Bucket: https://huggingface.co/buckets/AINovice2005/tokenizer-benchmark github gist: https://gist.github.com/ParagEkbote/b3877f667f84cbb9a27bdaca94ba662a Article: https://medium.com/@paragekbote23/one-sentence-fifteen-tokenizers-a-tokenizer-benchmarking-pipeline-with-hf-storage-buckets-2e59790276fd
posted an update 1 day ago
I'm pleased to announce that native trackio support has landed in optuna v.4.8.0. Now you can store HPO trial data to the 🤗 Hub as a dataset: https://huggingface.co/datasets/AINovice2005/toy-optuna-hpo-dataset or Space: https://huggingface.co/spaces/AINovice2005/optuna-dashboard Article which talks about the integration: https://medium.com/@paragekbote23/designing-and-contributing-an-optuna-integration-that-performs-well-in-practice-21a07d77ec2c
posted an update 5 days ago
Pro tip2: You can treat HF datasets as versioned repos by pinning a specific revision (tag, branch or commit) when downloading files. 🧠 This ensures your data processing pipelines always use the exact dataset state before passing the data to the model. It enables reproducible pipelines and allows for reliable outputs of your ML system. ```python from huggingface_hub import hf_hub_download data_path = hf_hub_download( repo_id="lysandre/arxiv-nlp", filename="train.parquet", repo_type="dataset", revision="877b84a8f93f2d619faa2a6e514a32beef88ab0a" ) ```
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