Instructions to use airkingbd/dplm_150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm_150m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, EsmForDPLM tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm_150m") model = EsmForDPLM.from_pretrained("airkingbd/dplm_150m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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add "dplm_type" to config
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Merge branch 'main' of https://huggingface.co/airkingbd/dplm_150m
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add "dplm_type" to config
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Update README.md
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Add link to paper, add pipeline tag (#1)
Verified signature- Add link to paper, add pipeline tag (5fa62b52d691c57e3f2ad2b1b91da34bcdbea141) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>952dcfc
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update config
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dplm 150m
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