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="dexxiez/lumber")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("dexxiez/lumber")
model = AutoModelForCausalLM.from_pretrained("dexxiez/lumber", device_map="auto")
Quick Links

The Lumber Model

Training data

The model was trained on tweets from Lumber himself.

Data Lumber
Tweets downloaded 1155
Retweets 4
Short tweets 87
Tweets kept 1064
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