Instructions to use tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot") model = AutoModelForSequenceClassification.from_pretrained("tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot/resolve/main/training_args.bin
- Command line
-
hf download hf://tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 3b9c09701291172c21c8c93646f4cbcad3b28628663545ecc4afd5868fff71d3
- Size of remote file:
- 5.37 kB
- SHA256:
- e59b17e733f81427ccc67040d8e0e6146ab520ffb0a1c44b4a93f9d85292320b
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