Instructions to use farhadali/Mistral-7B-Instruct-v0.2_Sparql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use farhadali/Mistral-7B-Instruct-v0.2_Sparql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "farhadali/Mistral-7B-Instruct-v0.2_Sparql") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from farhadali/Mistral-7B-Instruct-v0.2_Sparql: direct link, hf CLI and curl.
- Browser
- Download file 778 Bytes
-
https://huggingface.co/farhadali/Mistral-7B-Instruct-v0.2_Sparql/resolve/main/emissions.csv
- Command line
-
hf download hf://farhadali/Mistral-7B-Instruct-v0.2_Sparql/emissions.csv
-
curl -L -o emissions.csv https://huggingface.co/farhadali/Mistral-7B-Instruct-v0.2_Sparql/resolve/main/emissions.csv
778 Bytes
| 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 | |
| 2024-04-22T12:10:57,codecarbon,853cd43c-670a-4762-81c2-6e118abbdb17,45354.17931127548,2.60667831659625,5.747382834790277e-05,42.5,113.38900000000001,282.9638342857361,0.5354237719835501,3.264650560783333,3.556835769193379,7.356910101960251,Germany,DEU,,,,Linux-6.2.10-kd-cluster-x86_64-with-glibc2.31,3.9.2,2.2.3,64,Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz,2,2 x Tesla V100S-PCIE-32GB,9.491,51.2993,754.5702247619629,machine,N,1.0 | |