Instructions to use InstaDeepAI/nucleotide-transformer-500m-human-ref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-500m-human-ref with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-500m-human-ref")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/nucleotide-transformer-500m-human-ref") model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-500m-human-ref", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from InstaDeepAI/nucleotide-transformer-500m-human-ref: direct link, hf CLI and curl.
- Browser
- Download file 1.94 GB
-
https://huggingface.co/InstaDeepAI/nucleotide-transformer-500m-human-ref/resolve/2caa0918b8eb7c469478ef2ebe80aa24a69a8523/pytorch_model.bin
- Command line
-
hf download hf://InstaDeepAI/nucleotide-transformer-500m-human-ref@2caa0918b8eb7c469478ef2ebe80aa24a69a8523/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/InstaDeepAI/nucleotide-transformer-500m-human-ref/resolve/2caa0918b8eb7c469478ef2ebe80aa24a69a8523/pytorch_model.bin
1.94 GB
- Xet hash:
- 0948a8f7970e23c05ba120c5d88bdd75c0aa9f63e5f95940eb4465b98dd0f182
- Size of remote file:
- 1.94 GB
- SHA256:
- dfbccd00f95027cbc18e456a62a19d08d918acc4c97c8ab6af6c23bb9a943939
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