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ehdwns1516/gpt3-kor-based_gpt2_review_SR5
- This model has been trained Korean dataset as a star of 5 in the naver shopping reivew dataset.
- Input text what you want to generate review.
- If the context is longer than 1200 characters, the context may be cut in the middle and the result may not come out well.
review generator DEMO: Ainize DEMO
review generator API: Ainize API
Model links for each 1 to 5 star
- ehdwns1516/gpt3-kor-based_gpt2_review_SR1
- ehdwns1516/gpt3-kor-based_gpt2_review_SR2
- ehdwns1516/gpt3-kor-based_gpt2_review_SR3
- ehdwns1516/gpt3-kor-based_gpt2_review_SR4
- ehdwns1516/gpt3-kor-based_gpt2_review_SR5
Overview
Language model: gpt3-kor-small_based_on_gpt2
Language: Korean
Training data: review_body dataset with a star of 5 in the naver shopping reivew dataset.
Code: See Ainize Workspace
Usage
In Transformers
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("ehdwns1516/gpt3-kor-based_gpt2_review_SR5")
model = AutoModelWithLMHead.from_pretrained("ehdwns1516/gpt3-kor-based_gpt2_review_SR5")
generator = pipeline(
"text-generation",
model="ehdwns1516/gpt3-kor-based_gpt2_review_SR5",
tokenizer=tokenizer
)
context = "your context"
result = dict()
result[0] = generator(context)[0]
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