Instructions to use ElnaggarLab/ankh3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElnaggarLab/ankh3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ElnaggarLab/ankh3-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ElnaggarLab/ankh3-large") model = AutoModelForSeq2SeqLM.from_pretrained("ElnaggarLab/ankh3-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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license: cc-by-nc-sa-4.0
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pipeline_tag: feature-extraction
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---
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# Paper title and link
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library_name: transformers
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license: cc-by-nc-sa-4.0
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pipeline_tag: feature-extraction
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tags:
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- protein language model
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datasets:
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- UniRef50
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# Paper title and link
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