Instructions to use stojchet/lr_sft2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stojchet/lr_sft2 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, "stojchet/lr_sft2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fdc9561039cd12eab15df1a39bd394a29b5e76b4fde419b54ba0b2c80a0bb2c
- Size of remote file:
- 5.18 kB
- SHA256:
- 31c32c9ee83ad238790406205caff66dc92f431c41aa676f6a18ea8d23c767f6
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