Instructions to use ashabrawy/lev_aligned_msa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashabrawy/lev_aligned_msa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ashabrawy/lev_aligned_msa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ashabrawy/lev_aligned_msa") model = AutoModel.from_pretrained("ashabrawy/lev_aligned_msa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ashabrawy/lev_aligned_msa: direct link, hf CLI and curl.
- Browser
- Download file 6 Bytes
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https://huggingface.co/ashabrawy/lev_aligned_msa/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://ashabrawy/lev_aligned_msa@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/ashabrawy/lev_aligned_msa/resolve/refs%2Fpr%2F1/README.md
6 Bytes
hello