Instructions to use C10X/checkpoint-335 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use C10X/checkpoint-335 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "C10X/checkpoint-335") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7c35de3f6185e392b8926c4d976b63544fb716197a7573675ef0045f0a886ea
- Size of remote file:
- 152 MB
- SHA256:
- 5c00f1ecf6166149f567b81dba24b0301d0c3e8f73a45c8e0e2e1a41af65888c
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