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="domce20/mGPT-Lithuanian")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("domce20/mGPT-Lithuanian")
model = AutoModelForCausalLM.from_pretrained("domce20/mGPT-Lithuanian", device_map="auto")
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mGPT model additionally trained for Lithuanian.

Model Description

The model is additionally trained on a modified partition of the Lithuanian partition of the mC4 dataset.

The training was done on Vilnius University supercomputer.

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Model size
1B params
Tensor type
F32
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