Feature Extraction
Transformers
Safetensors
bert
fill-mask
biology
single-cell
scRNA-seq
cell-ontology
foundation-model
Instructions to use xiangyguo/scOntoFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiangyguo/scOntoFM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="xiangyguo/scOntoFM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("xiangyguo/scOntoFM") model = AutoModelForMaskedLM.from_pretrained("xiangyguo/scOntoFM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!