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
Mojtaba aka Omid Rohanian commited on
Commit ·
447bc44
1
Parent(s): fa386ab
Third version of the MobileBioBERT model.
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "distil-biobert/models/bio-mobilebert/final/model
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"architectures": [
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"MobileBertForMaskedLM"
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],
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{
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"_name_or_path": "distil-biobert/models/bio-mobilebert/final/model",
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"architectures": [
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"MobileBertForMaskedLM"
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pytorch_model.bin
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size 146842235
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