Instructions to use VanoInvestigations/BOLETIN_16bit_27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VanoInvestigations/BOLETIN_16bit_27 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bertin-project/BOLETIN") model = PeftModel.from_pretrained(base_model, "VanoInvestigations/BOLETIN_16bit_27") - Notebooks
- Google Colab
- Kaggle
| timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue | |
| 2024-02-10T01:13:32,codecarbon,1c8a0bfa-fa86-427a-9450-250833b6a9d9,14137.500471115112,0.08561760280338829,6.056063656960932e-06,42.5,414.25900000000007,377.07379245758057,0.1669004150859182,1.5850597363425403,1.4802344502321687,3.2321946016606247,Norway,NOR,,,,Linux-6.5.0-15-generic-x86_64-with-glibc2.35,3.10.9,2.2.3,96,Intel(R) Xeon(R) Gold 6248R CPU @ 3.00GHz,2,2 x NVIDIA RTX A6000,10.7559,59.9452,1005.5301132202148,machine,N,1.0 | |