Instructions to use kineticseas/spacely1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kineticseas/spacely1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "kineticseas/spacely1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71175fc053a38685f7b0050d80ff819dcd2810827be55a5378287d1370c4629b
- Size of remote file:
- 4.66 kB
- SHA256:
- 7b5ab5bb2740f7e30e001260f42b61c5c9ae10a6ff6b6dc98c77461dd598cc56
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