Instructions to use DeepaPeri/checkpoint-141 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepaPeri/checkpoint-141 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "DeepaPeri/checkpoint-141") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0217391304347827, | |
| "global_step": 141, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [], | |
| "max_steps": 2000, | |
| "num_train_epochs": 15, | |
| "total_flos": 1.975740102230016e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |