Instructions to use Electricarchmage/ApocryphaGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Electricarchmage/ApocryphaGenerator 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, "Electricarchmage/ApocryphaGenerator") - Notebooks
- Google Colab
- Kaggle
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README.md
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---
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library_name: peft
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base_model: EleutherAI/gpt-neox-20b
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---
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# Model Card for Model ID
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### Model Description
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- **Developed by:**
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- **
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:**
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- **Finetuned from model
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### Model Sources [optional]
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### Training Data
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[More Information Needed]
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library_name: peft
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base_model: EleutherAI/gpt-neox-20b
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license: mit
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datasets:
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- bydavid/biblecorpuscsv
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# Model Card for Model ID
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The Apocrypha Generator is trained to generate apocrypha, taking from Bible verses.
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### Model Description
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Using QLoRA and 4-bit quantization-based fine tuning, the Apocrypha Generator (AG) is a GPT-Neo-x-20b variant made to create apocryphal Bible verses using existing Bible verses as a base.
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- **Developed by:** William Johnson
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- **Model type:** Transformer
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** MIT
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- **Finetuned from model:** GPT-NeoX-20b
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### Model Sources [optional]
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### Training Data
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https://huggingface.co/datasets/bydavid/biblecorpuscsv
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[More Information Needed]
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