Instructions to use StevenZHB/Bio-Inject-Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StevenZHB/Bio-Inject-Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="StevenZHB/Bio-Inject-Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("StevenZHB/Bio-Inject-Bert") model = AutoModelForMaskedLM.from_pretrained("StevenZHB/Bio-Inject-Bert") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("StevenZHB/Bio-Inject-Bert")
model = AutoModelForMaskedLM.from_pretrained("StevenZHB/Bio-Inject-Bert")Quick Links
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Check out the documentation for more information.
See the project https://github.com/StevenZHB/BioPLM_InjectingKnowledge
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="StevenZHB/Bio-Inject-Bert")