Instructions to use dnagpt/dnagpt_unigram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnagpt/dnagpt_unigram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dnagpt/dnagpt_unigram")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dnagpt/dnagpt_unigram") model = AutoModel.from_pretrained("dnagpt/dnagpt_unigram", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ad35c966680c1af2c452b0fbd5b0f6e6587a07894ce8330662b0fda1cbc90b3
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size 496982928
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