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
File size: 365 Bytes
aa2595a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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
}
|