Feature Extraction
Transformers
Safetensors
English
esm
biology
protein
structural-biology
Eval Results (legacy)
Instructions to use ItsnotAilabs/AlphaFold-Embed-8M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ItsnotAilabs/AlphaFold-Embed-8M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ItsnotAilabs/AlphaFold-Embed-8M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ItsnotAilabs/AlphaFold-Embed-8M") model = AutoModel.from_pretrained("ItsnotAilabs/AlphaFold-Embed-8M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/inference.cpython-311.pyc from ItsnotAilabs/AlphaFold-Embed-8M: direct link, hf CLI and curl.
- Browser
- Download file 4.71 kB
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https://huggingface.co/ItsnotAilabs/AlphaFold-Embed-8M/resolve/main/__pycache__/inference.cpython-311.pyc
- Command line
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hf download hf://ItsnotAilabs/AlphaFold-Embed-8M/__pycache__/inference.cpython-311.pyc
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curl -L -o inference.cpython-311.pyc https://huggingface.co/ItsnotAilabs/AlphaFold-Embed-8M/resolve/main/__pycache__/inference.cpython-311.pyc
4.71 kB
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