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License
cc-by-nc-sa-4.0
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transformers
Hardware-aware snippets
Runtime-specific quick starts for ElnaggarLab/ankh-large. Detected hardware: No explicit hardware metadata.
Task: text-generationTransformers
NVIDIA CUDA path
Best default for NVIDIA GPUs and hosted accelerator nodes.
pip install torch transformers accelerate
python - <<'PY'
from transformers import pipeline
model_id = "ElnaggarLab/ankh-large"
pipe = pipeline(
task="text-generation",
model=model_id,
device_map="auto",
model_kwargs={"torch_dtype": "auto"},
)
print(pipe("Hello from Inferix"))
PYModel lineage
1 reposBase model
ElnaggarLab/ankh-large
Finetuned
1ankh-largeselected
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0No quantization variants detected.
Model info
Namespace
ElnaggarLab
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public
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License: cc-by-nc-sa-4.0
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Base model
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Tags
importedhuggingfaceminiotransformerspytorcht5text2text-generationbiologyproteinprotein language modelprotein embeddingdoi:10.57967/hf/0275license:cc-by-nc-sa-4.0text-generation-inferenceendpoints_compatibledeploy:azureregion:us