Instructions to use ajitrajasekharan/biomedical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajitrajasekharan/biomedical with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ajitrajasekharan/biomedical")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ajitrajasekharan/biomedical") model = AutoModelForMaskedLM.from_pretrained("ajitrajasekharan/biomedical", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ajit commited on
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initial commit from ajitrajasekharan
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:81bddec52f756941e42cc9547cb6426f2875a7744b0a51769d9ce07d08abdad4
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size 1338747554
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