Instructions to use dusersad12/SweepChampion-Release with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/SweepChampion-Release with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/SweepChampion-Release")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusersad12/SweepChampion-Release") model = AutoModelForSequenceClassification.from_pretrained("dusersad12/SweepChampion-Release", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Release winning sweep run run_20240902_b7e2 (val_f1 0.9127, p95 231.8 ms)
Verified signatureWinning run of sweep swp_8f31f2 (product-reviews-clf). Selected as the highest val_f1 run within the 250 ms p95 production latency budget. Includes model weights, config, tokenizer files and the filled model card.5d917e9