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 tokenizer.json from ItsnotAilabs/AlphaFold-Embed-8M: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/ItsnotAilabs/AlphaFold-Embed-8M/resolve/main/tokenizer.json
- Command line
-
hf download hf://ItsnotAilabs/AlphaFold-Embed-8M/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ItsnotAilabs/AlphaFold-Embed-8M/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.