Instructions to use nlpie/tiny-biobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/tiny-biobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/tiny-biobert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/tiny-biobert") model = AutoModelForMaskedLM.from_pretrained("nlpie/tiny-biobert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3719e2ff136110e68019c225ad0e9514ab14d3f99772c252b08e6952752569bb
- Size of remote file:
- 55.6 MB
- SHA256:
- 08a74f5ccff60adccec9ac6365f1cbb51493839ad61d5b13d799c97c509dbdd0
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