Instructions to use dmis-lab/biobert-base-cased-v1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/biobert-base-cased-v1.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dmis-lab/biobert-base-cased-v1.2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-base-cased-v1.2") model = AutoModelForMaskedLM.from_pretrained("dmis-lab/biobert-base-cased-v1.2") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#10 opened about 1 year ago
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SFconvertbot
Create README.md
#9 opened over 1 year ago
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dxf-feng
Added a missing config file
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#8 opened over 3 years ago
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tznurmin
model documentation
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#7 opened over 3 years ago
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nazneen
Adding `safetensors` variant of this model
#6 opened over 3 years ago
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Narsil
A dream of a beautiful girl, lovely, by Caspar David Friedrich, matte painting trending on artstation HQ
#4 opened over 3 years ago
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dahaiwuliang
Create README.md
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dahaiwuliang
Create README.md
#2 opened almost 4 years ago
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yuriy66
Create README.md
#1 opened about 4 years ago
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ElenaLemon