Instructions to use rahkrish1/EMS_all_100_code-starcoder-lora-batch_5_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_5_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_5_steps_2000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9a237476ac36505c0defd1dbe809b8f3b82808bac41c4d4876687feae9f3978
- Size of remote file:
- 22.2 MB
- SHA256:
- 5ee75741862c8e5baf8b114b3a672f9d4c9545836369861c7c43fcd768d6dfc0
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