How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="digitous/Javalion-GPTJ")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("digitous/Javalion-GPTJ")
model = AutoModelForCausalLM.from_pretrained("digitous/Javalion-GPTJ")
Quick Links

Javalion-GPTJ is a even quad merge of KoboldAI's GPT-J classics & PygmalionAI's Pygmalion6b;

(Janeway + Shinen) + (Skein + Pygmalion). Janeway + Shinen is listed under JANIN-GPTJ. Skein + Pygmalion is listed under SKEGMA-GPTJ.

Original models can all be found under KoboldAI w/exception to Pygmalion under PygmalionAI.

This 4x merge is not intended for minors as it can produce NC-17+ content.

[R-type/instruct merge variant underway.]

Downloads last month
1,035
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Spaces using digitous/Javalion-GPTJ 34