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Upload model_translation.py
Browse files- model_translation.py +18 -1
model_translation.py
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@@ -58,6 +58,21 @@ def get_tokenizer_model_for_src_lang(src_lang: str) -> (AutoTokenizer, AutoModel
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# - e.g. 200 words
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max_words_per_chunk = 200
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#
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# Multilingual translation model
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#
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@@ -68,4 +83,6 @@ model_multilingual = AutoModelForSeq2SeqLM.from_pretrained(
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model_MADLAD_name,
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device_map="auto",
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torch_dtype=torch.float16,
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low_cpu_mem_usage=True
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# - e.g. 200 words
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max_words_per_chunk = 200
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#
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# Multilingual language pairs
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#
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from transformers import M2M100Tokenizer, M2M100ForConditionalGeneration
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model_name_m2m100 = "facebook/m2m100_418M"
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tokenizer_m2m100 = M2M100Tokenizer.from_pretrained(model_name_m2m100)
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model_m2m100 = M2M100ForConditionalGeneration.from_pretrained(
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model_name_m2m100,
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device_map="auto",
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torch_dtype=torch.float16,
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low_cpu_mem_usage=True,
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load_in_8_bit=True
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)
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#
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# Multilingual translation model
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#
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model_MADLAD_name,
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device_map="auto",
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torch_dtype=torch.float16,
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low_cpu_mem_usage=True,
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load_in_8bit=True
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)
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