Instructions to use nttx/a0f7c4d9-e201-4db2-b154-cd5c955d3bc0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/a0f7c4d9-e201-4db2-b154-cd5c955d3bc0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "nttx/a0f7c4d9-e201-4db2-b154-cd5c955d3bc0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96cd7698e77beda2a3255d6f815cdd70cdf808173a3fa3b4773d3d097bd9fc59
- Size of remote file:
- 6.78 kB
- SHA256:
- 6d37eb252438a745ad05e099eadb75b118b608abf56cccfd368eeecf4667c014
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