Instructions to use InstaDeepAI/nucleotide-transformer-v2-250m-multi-species with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-v2-250m-multi-species with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-v2-250m-multi-species", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-v2-250m-multi-species", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from InstaDeepAI/nucleotide-transformer-v2-250m-multi-species: direct link, hf CLI and curl.
- Browser
- Download file 941 MB
-
https://huggingface.co/InstaDeepAI/nucleotide-transformer-v2-250m-multi-species/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://InstaDeepAI/nucleotide-transformer-v2-250m-multi-species/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/InstaDeepAI/nucleotide-transformer-v2-250m-multi-species/resolve/main/pytorch_model.bin
941 MB
- Xet hash:
- 479863d492b8d90da95f2f697b30cd38debb36d289ede6a7a4c20ab55cfd9d31
- Size of remote file:
- 941 MB
- SHA256:
- ad9be6f4ca8c744dde5794a0cdc443eb2d76d776d9da2377f6d9fe4f4d96fcd9
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