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:
- 62d5711a73ef3a247c7f72ffcecbb41d42a3414e5918eb4d38274da9cc0445ba
- Size of remote file:
- 50.3 MB
- SHA256:
- e7f860f65cec23a3dd631339783b6725b99e66f846a720827909ded6eef6ece0
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