Instructions to use cenfis/AlpaGo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cenfis/AlpaGo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-neox-20b") model = PeftModel.from_pretrained(base_model, "cenfis/AlpaGo") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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library_name: peft
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license: mit
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datasets:
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- vicgalle/alpaca-gpt4
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# AlpaGo: GPT-NeoX-20B Model Trained with QloRA Technique
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language:
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- en
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license: mit
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library_name: peft
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datasets:
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- vicgalle/alpaca-gpt4
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pipeline_tag: text-generation
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base_model: EleutherAI/gpt-neox-20b
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# AlpaGo: GPT-NeoX-20B Model Trained with QloRA Technique
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