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License
apache-2.0
Frameworks
transformers
Hardware-aware snippets
Runtime-specific quick starts for eugenesiow/edsr-base. 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 = "eugenesiow/edsr-base"
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
eugenesiow/edsr-base
Finetuned
1edsr-baseselected
Quantizations
0No quantization variants detected.
Model info
Namespace
eugenesiow
Visibility
public
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1
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0
License: apache-2.0
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Base model
Not specifiedTrained on datasets
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0/0 fitNot available for inference yet.
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Tags
importedhuggingfaceminiotransformersEDSRsuper-imageimage-super-resolutiondataset:eugenesiow/Div2kdataset:eugenesiow/Set5dataset:eugenesiow/Set14dataset:eugenesiow/BSD100dataset:eugenesiow/Urban100arxiv:1707.02921arxiv:2104.07566license:apache-2.0endpoints_compatibleregion:us