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Langboat/bloom-389m-zh
bloom-389m-zh is a text generation model from Langboat. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as bigscience-bloom-rail-1.0.
This model is based on bigscience/bloom-560m.
Downloads · 30 days
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.bin1.6 GB · 100%
From the Hugging Face model README
This model is based on bigscience/bloom-560m.
We pruned its vocabulary from 250880 to 42437 with Chinese corpus to reduce GPU memory usage. So the total parameter is 389m now.
from transformers import BloomTokenizerFast, BloomForCausalLM
tokenizer = BloomTokenizerFast.from_pretrained('Langboat/bloom-389m-zh')
model = BloomForCausalLM.from_pretrained('Langboat/bloom-389m-zh')
print(tokenizer.batch_decode(model.generate(tokenizer.encode('中国的首都是', return_tensors='pt'))))