Instructions to use sultan/BioM-ALBERT-xxlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/BioM-ALBERT-xxlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sultan/BioM-ALBERT-xxlarge")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sultan/BioM-ALBERT-xxlarge") model = AutoModelForMaskedLM.from_pretrained("sultan/BioM-ALBERT-xxlarge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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Reproducing our BLURB results with JAX [![Open In Colab][COLAB]](https://colab.research.google.com/github/salrowili/BioM-Transformers/blob/main/examples/BLURB_LeaderBoard_with_TPU_VM.ipynb)
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[COLAB]: https://colab.research.google.com/assets/colab-badge.svg
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# Acknowledgment
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Reproducing our BLURB results with JAX [![Open In Colab][COLAB]](https://colab.research.google.com/github/salrowili/BioM-Transformers/blob/main/examples/BLURB_LeaderBoard_with_TPU_VM.ipynb)
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Finetunning BioM-Transformers with Jax/Flax on TPUv3-8 with free Kaggle resource [![Open In Colab][COLAB]](https://www.kaggle.com/code/sultanalrowili/biom-transoformers-with-flax-on-tpu-with-kaggle)
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[COLAB]: https://colab.research.google.com/assets/colab-badge.svg
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# Acknowledgment
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