Instructions to use stojchet/1b1c95a3d2cf3aea9520af0a64ac2b76 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stojchet/1b1c95a3d2cf3aea9520af0a64ac2b76 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/1b1c95a3d2cf3aea9520af0a64ac2b76") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d1722473dc85685b2c04d4edbb9958d1192a2d6a50c0abda43c5951737db929
- Size of remote file:
- 5.18 kB
- SHA256:
- 7cb7658ac6e35e38f57218ca5326d888b854764a77304ebe82af20e02dba6576
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