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
Christina Theodoris
add option for relabeling data from prior label class dict, update dict paths in manifest
76a78a0 Download MANIFEST.in from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 482 Bytes
-
https://huggingface.co/ctheodoris/Geneformer/resolve/f45a6c7de57ff07f946f146c254da02a90e2cdf5/MANIFEST.in
- Command line
-
hf download hf://ctheodoris/Geneformer@f45a6c7de57ff07f946f146c254da02a90e2cdf5/MANIFEST.in
-
curl -L -o MANIFEST.in https://huggingface.co/ctheodoris/Geneformer/resolve/f45a6c7de57ff07f946f146c254da02a90e2cdf5/MANIFEST.in
482 Bytes
| include geneformer/gene_median_dictionary_gc104M.pkl | |
| include geneformer/gene_name_id_dict_gc104M.pkl | |
| include geneformer/ensembl_mapping_dict_gc104M.pkl | |
| include geneformer/token_dictionary_gc104M.pkl | |
| include geneformer/gene_dictionaries_30m/gene_median_dictionary_gc30M.pkl | |
| include geneformer/gene_dictionaries_30m/gene_name_id_dict_gc30M.pkl | |
| include geneformer/gene_dictionaries_30m/ensembl_mapping_dict_gc30M.pkl | |
| include geneformer/gene_dictionaries_30m/token_dictionary_gc30M.pkl |