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
change default emb to cls
Browse files
geneformer/emb_extractor.py
CHANGED
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@@ -411,7 +411,7 @@ class EmbExtractor:
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self,
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model_type="Pretrained",
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num_classes=0,
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-
emb_mode="
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cell_emb_style="mean_pool",
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gene_emb_style="mean_pool",
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filter_data=None,
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self,
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model_type="Pretrained",
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num_classes=0,
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+
emb_mode="cls",
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cell_emb_style="mean_pool",
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gene_emb_style="mean_pool",
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filter_data=None,
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