Instructions to use ashabrawy/gumar_aligned_msa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashabrawy/gumar_aligned_msa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ashabrawy/gumar_aligned_msa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ashabrawy/gumar_aligned_msa") model = AutoModel.from_pretrained("ashabrawy/gumar_aligned_msa", 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 sha256:9eb2d462db39ff50569750dc19ac303edbf56da42e3dbd061fd87111dcaace23
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size 436347736
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