Instructions to use rahkrish1/EMS_all_75_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_75_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_75_code-starcoder-lora-batch_10_steps_2000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 769bff42e87453f29919d78521e98901f70309fcb7cc639552ffb2d811b7640f
- Size of remote file:
- 22.2 MB
- SHA256:
- 885a6e08b968ce2420721d19617c6c6db07afbda8e97d09da8ed3610bb73dd5e
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