Instructions to use iHateNLP/deepseek-coder-1.3b-base-JUnit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iHateNLP/deepseek-coder-1.3b-base-JUnit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "iHateNLP/deepseek-coder-1.3b-base-JUnit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f1f20592fcd89253322a81db2f0c0b356b59122883cccc802827ee9c6549898
- Size of remote file:
- 5.62 kB
- SHA256:
- a817357f263a1bc6bd2f6b0a6a3b250ba364a4585866c89a1431fb091d8ee37e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.