我下载了fasttext模型lid.176.bin。如果我使用文件夹中的模型在本地运行代码,则一切正常。但我需要在 GC 中运行它,因此,我将模型上传到存储桶中,并将模型路径从本地更改为 gs 存储桶,并收到错误:ValueError: gs://models/fasttext-model/lid.176。无法打开垃圾箱进行装载!
如何使用存储桶中的模型?
path_to_pretrained_model = 'gs://models/fasttext-model/lid.176.bin'
fasttext_model = fasttext.load_model(path_to_pretrained_model)
最佳答案
此功能来自Google Documentation帮我解决问题
from google.cloud import storage
def download_blob(bucket_name, source_blob_name, destination_file_name):
"""Downloads a blob from the bucket."""
# bucket_name = "your-bucket-name"
# source_blob_name = "storage-object-name"
# destination_file_name = "local/path/to/file"
storage_client = storage.Client()
bucket = storage_client.bucket(bucket_name)
# Construct a client side representation of a blob.
# Note `Bucket.blob` differs from `Bucket.get_blob` as it doesn't retrieve
# any content from Google Cloud Storage. As we don't need additional data,
# using `Bucket.blob` is preferred here.
blob = bucket.blob(source_blob_name)
blob.download_to_filename(destination_file_name)
print(
"Blob {} downloaded to {}.".format(
source_blob_name, destination_file_name
)
)
关于nlp - FastText 无法打开以从存储桶加载,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/68326536/