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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ctheodoris/Geneformer") model = AutoModelForMaskedLM.from_pretrained("ctheodoris/Geneformer") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 597 Bytes
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Tokenizer
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geneformer.tokenizer
Classifier
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geneformer.classifier
Multitask Classifier
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geneformer.mtl_classifier
Embedding Extractor
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geneformer.emb_extractor
In Silico Perturber
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geneformer.in_silico_perturber
In Silico Perturber Stats
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geneformer.in_silico_perturber_stats
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