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Tasks
text-generation
Frameworks
transformers
Hardware-aware snippets
Runtime-specific quick starts for trl-internal-testing/tiny-DeepseekV3ForCausalLM. 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 = "trl-internal-testing/tiny-DeepseekV3ForCausalLM"
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
trl-internal-testing/tiny-DeepseekV3ForCausalLM
Finetuned
1tiny-DeepseekV3ForCausalLMselected
Quantizations
0No quantization variants detected.
Model info
Namespace
trl-internal-testing
Visibility
public
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1
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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
importedhuggingfaceminiotransformerssafetensorsdeepseek_v3text-generationtrlconversationaltext-generation-inferenceendpoints_compatibleregion:us