Text Generation
PEFT
Safetensors
English
forecasting
prediction
reinforcement-learning
grpo
lora
mixture-of-experts
golf
sports
future-as-label
Eval Results (legacy)
Instructions to use LightningRodLabs/Golf-Forecaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LightningRodLabs/Golf-Forecaster with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openai/gpt-oss-120b") model = PeftModel.from_pretrained(base_model, "LightningRodLabs/Golf-Forecaster") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e208fbb91891e83dde6c5c0f50576d40628cb2ba90a1b5a01ed549526e5ca462
- Size of remote file:
- 5.26 GB
- SHA256:
- b1eadb86093bba917a6b603e1786cd7b03c0175f1ee965955cc290983f346449
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