Instructions to use xubayer/Llama-3.2-1B-Proactive-Small-Complete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xubayer/Llama-3.2-1B-Proactive-Small-Complete with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "xubayer/Llama-3.2-1B-Proactive-Small-Complete") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 106b57fb305933a607e3b0dec9e2c488068bb68e46dbe88f525374df9a32deef
- Size of remote file:
- 18.4 kB
- SHA256:
- 49ff33739160b8592fca3dc0a72f6e0aff3f84f380470239e8b261c9f7f11f79
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