Instructions to use nlpie/bio-mobilebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/bio-mobilebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/bio-mobilebert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/bio-mobilebert") model = AutoModelForMaskedLM.from_pretrained("nlpie/bio-mobilebert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cd3b889307166d00faab467fa880288437dbcfbb639bffcc67d2b49c8eed8b0
- Size of remote file:
- 147 MB
- SHA256:
- a751ce4142bff96617c9bf0eda93f28d8ff33569b4d6821189d00939992fa33d
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