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License
mit
Tasks
text-generation
Frameworks
transformers
Hardware-aware snippets
Runtime-specific quick starts for StanfordAIMI/CheXagent-2-3b. 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 = "StanfordAIMI/CheXagent-2-3b"
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
StanfordAIMI/CheXagent-2-3b
Finetuned
1CheXagent-2-3bselected
Quantizations
0No quantization variants detected.
Model info
Namespace
StanfordAIMI
Visibility
public
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0
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0
License: mit
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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
importedhuggingfaceminiotransformerssafetensorsphitext-generationconversationalcustom_codearxiv:2401.12208license:mittext-generation-inferenceendpoints_compatibleregion:us