Instructions to use Bry14/deepseek-coder-1.3b-haskell-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bry14/deepseek-coder-1.3b-haskell-v0.2 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, "Bry14/deepseek-coder-1.3b-haskell-v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae735124ab84254616d221d7498944b0e22133b1d8bf5d92b1e65152070d0e3c
- Size of remote file:
- 50.4 MB
- SHA256:
- ce9f6f06229b8878c9db5b8107744f438898f626ec8e83a0632edc5af40b2f53
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