Downloads · 30 days
8
35% of all-time downloads
iamthe66epitaph/Erebus
Erebus is a machine learning model from iamthe66epitaph. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Creator: iamthe66epitaph Model Type: Language Model / Text Generation AI Base Model: GPT-2 (or your chosen base) License: [Add your preferred license, e.g., MIT]
Downloads · 30 days
8
35% of all-time downloads
All-time downloads
23
Public
Repo size
—
Likes
1
Public
Click a slice to open those files.
.json799 KB · 64%
From the Hugging Face model README
Creator: iamthe66epitaph
Model Type: Language Model / Text Generation AI
Base Model: GPT-2 (or your chosen base)
License: [Add your preferred license, e.g., MIT]
Erebus is a mystical, visionary AI designed for creative text generation, story-building, and exploring imaginative, dark, or atmospheric themes. It can be used to generate narratives, dialogue, or artistic descriptions in a consistent, coherent style.
Creative writing assistance
Storytelling
World-building and imaginative text generation
Erebus may generate content that is dark, unsettling, or not suitable for all audiences.
It is not designed for factual accuracy, critical decision-making, or professional advice.
Outputs may sometimes be inconsistent or nonsensical; use judgment when deploying.
python from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("iamthe66epitaph/Erebus") model = AutoModelForCausalLM.from_pretrained("iamthe66epitaph/Erebus")
input_text = "In the shadowed forest, Erebus saw..." inputs = tokenizer(input_text, return_tensors="pt") outputs = model.generate(**inputs, max_length=100) print(tokenizer.decode(outputs[0], skip_special_tokens=True))