Instructions to use InstaDeepAI/nucleotide-transformer-500m-1000g with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-500m-1000g with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-500m-1000g")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/nucleotide-transformer-500m-1000g") model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-500m-1000g", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add TF weights
#4
by Rocketknight1 HF Staff - opened
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ea63510d201e959ff2ef65366987f679cdca641538803b79795d6b1939fe33f
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size 1943319236
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