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metaXu264/maga_dataset_ft_generator_3b_20000steps
maga_dataset_ft_generator_3b_20000steps is a machine learning model from metaXu264. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains a globally fine-tuned 3B-parameter GENERator model. The model is provided in sharded safetensors format and uses a custom tokenizer defined in tokenizer.py.
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From the Hugging Face model README
This repository contains a globally fine-tuned 3B-parameter GENERator model.
The model is provided in sharded safetensors format and uses a custom tokenizer
defined in tokenizer.py.
Load with:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained(
"metaXu264/你的repo名",
trust_remote_code=True
)
model = AutoModelForCausalLM.from_pretrained(
"metaXu264/你的repo名",
trust_remote_code=True
)