Text Generation
PEFT
Safetensors
Spanish
lora
qlora
codellama
python
education
pandas
spanish
conversational
Instructions to use Pepisxd/codellama-edugen-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pepisxd/codellama-edugen-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "Pepisxd/codellama-edugen-v2") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-202/training_args.bin from Pepisxd/codellama-edugen-v2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Pepisxd/codellama-edugen-v2/resolve/main/checkpoint-202/training_args.bin
- Command line
-
hf download hf://Pepisxd/codellama-edugen-v2/checkpoint-202/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Pepisxd/codellama-edugen-v2/resolve/main/checkpoint-202/training_args.bin
5.43 kB
- Xet hash:
- 8a390f5af3c947e6793ae237ebbe191aa26cfc881f636328c3af6c6c27565038
- Size of remote file:
- 5.43 kB
- SHA256:
- e7b13887c23989c2e4b99a4c217a68a2f07d81241e9df9a4ac526d5bf0006f05
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.