Then I tried running the model to translate from en_to_es but it results in very wrong results:
\nfrom transformers import pipeline\ngenerator = pipeline(\"translation_en_to_es\", model=\"t5-base\")\nprint(generator(\"hello\"))\n
\n\nIs this expected behaviour?
\n","updatedAt":"2022-10-06T16:13:42.833Z","author":{"_id":"632b170066f28bf34ae3a348","avatarUrl":"/avatars/6fbc8693e4e166d1c4f288c9635afe9e.svg","fullname":"Harsh Patel","name":"harsh8398","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false}},"numEdits":0,"editors":["harsh8398"],"editorAvatarUrls":["/avatars/6fbc8693e4e166d1c4f288c9635afe9e.svg"],"reactions":[],"isReport":false}},{"id":"6353c37412edd0ed5dbf86fe","author":{"_id":"6353a2d012edd0ed5dbeb8eb","avatarUrl":"/avatars/8fa2548533742eab81a92050e20b76a5.svg","fullname":"li","name":"adopemind","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isOwner":false,"isOrgMember":false},"createdAt":"2022-10-22T10:18:28.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"from transformers import AutoTokenizer\n tokenizer = AutoTokenizer.from_pretrained(\"t5-small\",model_max_length=512)","html":"from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(\"t5-small\",model_max_length=512)
Issue with translation to spanish
Then I tried running the model to translate from en_to_es but it results in very wrong results:
\nfrom transformers import pipeline\ngenerator = pipeline(\"translation_en_to_es\", model=\"t5-base\")\nprint(generator(\"hello\"))\n
\n\nIs this expected behaviour?
\n","updatedAt":"2022-10-06T16:13:42.833Z","author":{"_id":"632b170066f28bf34ae3a348","avatarUrl":"/avatars/6fbc8693e4e166d1c4f288c9635afe9e.svg","fullname":"Harsh Patel","name":"harsh8398","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false}},"numEdits":0,"editors":["harsh8398"],"editorAvatarUrls":["/avatars/6fbc8693e4e166d1c4f288c9635afe9e.svg"],"reactions":[],"isReport":false}},{"id":"6353c37412edd0ed5dbf86fe","author":{"_id":"6353a2d012edd0ed5dbeb8eb","avatarUrl":"/avatars/8fa2548533742eab81a92050e20b76a5.svg","fullname":"li","name":"adopemind","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isOwner":false,"isOrgMember":false},"createdAt":"2022-10-22T10:18:28.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"from transformers import AutoTokenizer\n tokenizer = AutoTokenizer.from_pretrained(\"t5-small\",model_max_length=512)","html":"from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(\"t5-small\",model_max_length=512)
I ran the model to translate from en_to_de first using following code:
from transformers import pipeline
generator = pipeline("translation_en_to_de", model="t5-base")
print(generator("hello"))
Then I tried running the model to translate from en_to_es but it results in very wrong results:
from transformers import pipeline
generator = pipeline("translation_en_to_es", model="t5-base")
print(generator("hello"))
Is this expected behaviour?
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("t5-small",model_max_length=512)