Instructions to use nlpie/bio-tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/bio-tinybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/bio-tinybert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/bio-tinybert") model = AutoModelForMaskedLM.from_pretrained("nlpie/bio-tinybert") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84f241260ae2cb1a18f8e84dfd5600860b7ec109987744fa80d64f7b356f24cd
- Size of remote file:
- 57.6 MB
- SHA256:
- 19acb8f05ac3ed350583cc5604c4222849be161a093802730ebfd30cfa1e688c
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