jqop/distillBERT-fintuned_with_imdb_dataset_with_whole_word_masking_data_collator
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Ahmed Benalal
jqop
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WhyHow's
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Excited to announce PatientSeek (
whyhow-ai/PatientSeek), the first open-source fine-tuned DeepSeek reasoning model for the MED-LEGAL space, designed to run securely and privately on local systems, and trained on one of the largest accessible datasets of patient records.
It is purpose-built for MED-LEGAL workflows, focusing on disease and diagnosis identification and correlation reasoning—critical tasks that require the intersection of healthcare and legal expertise.
It is purpose-built for MED-LEGAL workflows, focusing on disease and diagnosis identification and correlation reasoning—critical tasks that require the intersection of healthcare and legal expertise.
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My latest project is the outcome of the last 2+ years working with TPUs from the amazing TPU Research Cloud (TRC) program and training Encoder-only LMs with the TensorFlow Model Garden library.
👉 Link: https://github.com/stefan-it/model-garden-lms
An overview of some features:
- Cheatsheet for setting-up a TPU VM Pod (with all necessary dependencies) to pretrain LMs with TF Model Garden
- Conversion scripts that convert TF Model Garden weights to Hugging Face Transformers-compatible models
- Supported architectures include BERT, BERT with Token Dropping and TEAMS
I also released BERT-based models pretrained on the great Hugging Face FineWeb and FineWeb-Edu datasets (10BT subset). With more to come!
👉 Model Hub Link: https://huggingface.co/model-garden-lms
If you find these resources useful, please give them a like!
Made from Bavarian Oberland with ❤️ and 🥨.
👉 Link: https://github.com/stefan-it/model-garden-lms
An overview of some features:
- Cheatsheet for setting-up a TPU VM Pod (with all necessary dependencies) to pretrain LMs with TF Model Garden
- Conversion scripts that convert TF Model Garden weights to Hugging Face Transformers-compatible models
- Supported architectures include BERT, BERT with Token Dropping and TEAMS
I also released BERT-based models pretrained on the great Hugging Face FineWeb and FineWeb-Edu datasets (10BT subset). With more to come!
👉 Model Hub Link: https://huggingface.co/model-garden-lms
If you find these resources useful, please give them a like!
Made from Bavarian Oberland with ❤️ and 🥨.
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