Tabular Classification
Transformers
Safetensors
felatab
feature-extraction
fela
tabular
in-context-learning
prior-fitted-network
foundation-model
delta-rule
cpu
on-device
custom_code
Eval Results (legacy)
Instructions to use lowdown-labs/fela-tab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowdown-labs/fela-tab with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lowdown-labs/fela-tab", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update TabArena HF job script
Browse files
benchmark/tabarena/hf_job.sh
CHANGED
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@@ -11,7 +11,7 @@ RUN_NAME="${RUN_NAME:-felatab_hfjob}"
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mkdir -p "$WORK/tmp" && cd "$WORK"
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pip install -q uv
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# 1) FelaTab repo (model + this benchmark code) from HF
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python - <<'EOF'
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mkdir -p "$WORK/tmp" && cd "$WORK"
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pip install -q uv huggingface_hub
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# 1) FelaTab repo (model + this benchmark code) from HF
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python - <<'EOF'
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