# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("HScomcom/gpt2-lovecraft")
model = AutoModelForCausalLM.from_pretrained("HScomcom/gpt2-lovecraft")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Model information
Fine tuning data: https://www.kaggle.com/bennijesus/lovecraft-fiction
License: CC0: Public Domain
Base model: gpt-2 large
Epoch: 30
Train runtime: 10307.3488 secs
Loss: 0.0292
API page: Ainize
Demo page: End-point
===Teachable NLP===
To train a GPT-2 model, write code and require GPU resources, but can easily fine-tune and get an API to use the model here for free.
Teachable NLP: Teachable NLP
Tutorial: Tutorial
And my other lovecraft model: showcase
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="HScomcom/gpt2-lovecraft")