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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add option for relabeling data from prior label class dict, update dict paths in manifest
Christina Theodoris76a78a0
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update with V2 models
Christina Theodorisd319fef
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update setup with req and manifest with updated filenames
a34fbc2
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update with 12L and 20L i4096 gc95M models, multitask and quantiz code
933ca80
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Fixes to stats and adding gene dict attempt number 2 (#13)
- fix in silico perturber (f4048822734452938a6f2b614534590ed54201bc)42e9bf9
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Add MANIFEST.in
1163e5e