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:
- 654be9ee5849e0afc4b85c05b86fa9d8d7e46ae5d74cb1456c33b5a4e07b8a73
- Size of remote file:
- 4.92 kB
- SHA256:
- 796ec740fd5ca0495d13d29f110a05a11de5fb5ae1d82236b3779b1c2e6b88f0
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