[Update] translation: Add support for new translation models and improve weight handling
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@@ -5,50 +5,50 @@ import transformers
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import ctranslate2
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from huggingface_hub import hf_hub_url, list_repo_files
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from requests import get as requests_get
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try:
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from utils import errorLogging
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from utils import errorLogging, getBestComputeType
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except Exception:
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import traceback
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def errorLogging():
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print(traceback.format_exc())
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import sys
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print(os_path.dirname(os_path.dirname(os_path.dirname(os_path.abspath(__file__)))))
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sys.path.append(os_path.dirname(os_path.dirname(os_path.dirname(os_path.abspath(__file__)))))
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from utils import errorLogging, getBestComputeType
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ctranslate2_weights = {
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"small": {
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# "hf_repo": "jncraton/m2m100_418M-ct2-int8",
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# "directory_name": "m2m100_418M-ct2-int8",
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# "tokenizer": "facebook/m2m100_418M",
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"hf_repo": "OpenNMT/nllb-200-distilled-1.3B-ct2-int8",
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"directory_name": "nllb-200-distilled-1.3B-ct2-int8",
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"tokenizer": "facebook/nllb-200-distilled-1.3B",
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"m2m100_418M-ct2-int8": {
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"hf_repo": "jncraton/m2m100_418M-ct2-int8",
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"directory_name": "m2m100_418M-ct2-int8",
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"tokenizer": "facebook/m2m100_418M",
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},
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"large": {
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"m2m100_1.2B-ct2-int8": {
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"hf_repo": "jncraton/m2m100_1.2B-ct2-int8",
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"directory_name": "m2m100_1.2B-ct2-int8",
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"tokenizer": "facebook/m2m100_1.2B",
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},
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"nllb-200-distilled-1.3B-ct2-int8": {
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"hf_repo": "OpenNMT/nllb-200-distilled-1.3B-ct2-int8",
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"directory_name": "nllb-200-distilled-1.3B-ct2-int8",
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"tokenizer": "facebook/nllb-200-distilled-1.3B",
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},
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"nllb-200-3.3B-ct2-int8": {
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"hf_repo": "OpenNMT/nllb-200-3.3B-ct2-int8",
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"directory_name": "nllb-200-3.3B-ct2-int8",
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"tokenizer": "facebook/nllb-200-3.3B",
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},
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"nllb-200-distilled-1.3B": {
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"hf_repo": "OpenNMT/nllb-200-distilled-1.3B-ct2-int8",
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"directory_name": "nllb-200-distilled-1.3B-ct2-int8",
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"tokenizer": "facebook/nllb-200-distilled-1.3B",
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},
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}
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def checkCTranslate2Weight(root: str, weight_type: str = "small"):
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def checkCTranslate2Weight(root: str, weight_type: str = "m2m100_418M-ct2-int8"):
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weight_directory_name = ctranslate2_weights[weight_type]["directory_name"]
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path = os_path.join(root, "weights", "ctranslate2", weight_directory_name)
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try:
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# モデルロード可能かどうかで判定
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ctranslate2.Translator(path)
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compute_type = getBestComputeType("cpu", 0)
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ctranslate2.Translator(path, compute_type=compute_type)
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return True
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except Exception:
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return False
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def downloadCTranslate2Weight(root: str, weight_type: str = "small", callback: Callable = None, end_callback: Callable = None):
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def downloadCTranslate2Weight(root: str, weight_type: str = "m2m100_418M-ct2-int8", callback: Callable = None, end_callback: Callable = None):
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hf_repo = ctranslate2_weights[weight_type]["hf_repo"]
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files = list_repo_files(repo_id=hf_repo)
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path = os_path.join(root, "weights", "ctranslate2", ctranslate2_weights[weight_type]["directory_name"])
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@@ -79,7 +79,7 @@ def downloadCTranslate2Weight(root: str, weight_type: str = "small", callback: C
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if end_callback is not None:
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end_callback()
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def downloadCTranslate2Tokenizer(path: str, weight_type: str = "small"):
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def downloadCTranslate2Tokenizer(path: str, weight_type: str = "m2m100_418M-ct2-int8"):
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directory_name = ctranslate2_weights[weight_type]["directory_name"]
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tokenizer = ctranslate2_weights[weight_type]["tokenizer"]
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tokenizer_path = os_path.join(path, "weights", "ctranslate2", directory_name, "tokenizer")
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@@ -106,4 +106,9 @@ if __name__ == "__main__":
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# result = checkCTranslate2Weight(root, weight_type)
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# print(f"Model loadable: {result}")
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# break
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downloadCTranslate2Tokenizer(root, "small")
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# downloadCTranslate2Tokenizer(root, "m2m100_418M-ct2-int8")
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# model download test
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downloadCTranslate2Weight(root, "nllb-200-distilled-1.3B", callback=progress_callback, end_callback=end_callback)
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result = checkCTranslate2Weight(root, "nllb-200-distilled-1.3B")
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print(f"Model loadable: {result}")
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