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
Download geneformer/token_dictionary_gc95M.pkl from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 426 kB
-
https://huggingface.co/ctheodoris/Geneformer/resolve/9f0fa5d773efa20d201f2d548baff6edca7d08d5/geneformer/token_dictionary_gc95M.pkl
- Command line
-
hf download hf://ctheodoris/Geneformer@9f0fa5d773efa20d201f2d548baff6edca7d08d5/geneformer/token_dictionary_gc95M.pkl
-
curl -L -o token_dictionary_gc95M.pkl https://huggingface.co/ctheodoris/Geneformer/resolve/9f0fa5d773efa20d201f2d548baff6edca7d08d5/geneformer/token_dictionary_gc95M.pkl
426 kB
- Xet hash:
- a58ab349aa7a2e9d088adae9d7257e794837d862ea3e8c4dda47be869b32f51f
- Size of remote file:
- 426 kB
- SHA256:
- 67c445f4385127adfc48dcc072320cd65d6822829bf27dd38070e6e787bc597f
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