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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25e8acaecceeac8cd476eb6cde2cd7814c9faab1f338afd0ca9fd3eafae48f59
- Size of remote file:
- 55.6 MB
- SHA256:
- 6af06e764e71514184fc31536452a98809aa0eb9dff5e8557577df30bccfd979
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