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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("StevenZHB/Bio-Inject-Bert") model = AutoModelForMaskedLM.from_pretrained("StevenZHB/Bio-Inject-Bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from StevenZHB/Bio-Inject-Bert: direct link, hf CLI and curl.
- Browser
- Download file 70 Bytes
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https://huggingface.co/StevenZHB/Bio-Inject-Bert/resolve/main/README.md
- Command line
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hf download hf://StevenZHB/Bio-Inject-Bert/README.md
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curl -L -o README.md https://huggingface.co/StevenZHB/Bio-Inject-Bert/resolve/main/README.md
70 Bytes
| See the project https://github.com/StevenZHB/BioPLM_InjectingKnowledge |