Instructions to use ctheodoris/Geneformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctheodoris/Geneformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ctheodoris/Geneformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ctheodoris/Geneformer") model = AutoModelForMaskedLM.from_pretrained("ctheodoris/Geneformer", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Refactor: Convert mask_token_id, pad_token_id, and all_special_ids to properties (#395)
Verified signature- Refactor: Convert mask_token_id, pad_token_id, and all_special_ids to properties (02febb8c9cc71177ab74ab03ab83e597b7ec1df7) Co-authored-by: Madhavan Venkatesh <madhavanvenkatesh@users.noreply.huggingface.co>2e06f1a
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precommit formatting
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update with 12L and 20L i4096 gc95M models, multitask and quantiz code
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move dicts to init
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Subclass collator for cell classification
Christina Theodoris402ba9b