Instructions to use valteu/nlu_boolq_lora_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use valteu/nlu_boolq_lora_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "valteu/nlu_boolq_lora_v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "flops": { | |
| "eval": 106689854968838400, | |
| "train": 3.61888601646767e+16, | |
| "total": 1.428787151335151e+17 | |
| }, | |
| "total_energy": 127.00658, | |
| "best_evals": { | |
| "pplx": { | |
| "score": 18397125.397900093, | |
| "step": 5292 | |
| }, | |
| "rougel": { | |
| "precision": 0.8192660550458716, | |
| "recall": 0.8192660550458716, | |
| "fmeasure": 0.8192660550458716 | |
| } | |
| } | |
| } |