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:
- 0ad7098c549993d488024567bb8a81c109840400f4cfba9fbb6b6b1510e2f4f1
- Size of remote file:
- 55.6 MB
- SHA256:
- a2aef21b25d4ca1f10839f79c7662518a832f5f5a8d812ba08c0f4214535a8f7
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