Instructions to use fjrmhri/Poker-Hand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fjrmhri/Poker-Hand with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fjrmhri/Poker-Hand", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Poker-Hand
Repo ini berisi artefak model hasil training (PyTorch state_dict dan checkpoint) untuk klasifikasi poker hand.
Isi utama
poker_model_best.pth: exportstate_dictmodel terbaikcheckpoints/best.pth: checkpoint best selama training- (opsional)
checkpoints/best_no_strength.pth: checkpoint ablation tanpa strength head checkpoints/config.json: konfigurasi trainingcheckpoints/final_metrics.json: metrik final
Catatan
Untuk load model, Anda perlu mendefinisikan class arsitektur yang sama (PokerModelV2) seperti di notebook training, lalu memanggil load_state_dict.
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fjrmhri/Poker-Hand", dtype="auto")