Instructions to use rahkrish1/EMS_all_100_code-starcoder-lora-batch_10_steps_2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rahkrish1/EMS_all_100_code-starcoder-lora-batch_10_steps_2000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "rahkrish1/EMS_all_100_code-starcoder-lora-batch_10_steps_2000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c17689443b3f086ac7c8da7af2b3b7d533d2503d60cd83c79b5bcfe61ee26ddb
- Size of remote file:
- 5.37 kB
- SHA256:
- 5615a7c8aec3e517cf12a5ed4a9e7f6022e340070c64862ebcc069cd50a6bb17
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.