metadata
language:
- en
pipeline_tag: text-generation
datasets:
- roneneldan/TinyStories
- bookcorpus/bookcorpus
Warning!!
This model is in the process of being moved from gpt2 architecture -> a custom architecture. Note that it may not work at certain times because of the moving. Thank you for understanding.
Kate
This is a custom model for text generation. Money wasted: 11€
Model Details
model_type: KateAIForCasualLM
Usage
Please use the api of the space.
pip install gradio_client
from gradio_client import Client
client = Client("unamedai/Kate")
result = client.predict(
message="Once,",
max_tokens=512,
temperature=0.8,
top_p=0.95,
api_name="/predict"
)
print(result)