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GPT2-German-sentiment
mab/GPT2-German-sentiment
GPT2-German-sentiment is a text classification model from mab. Use it when you need a label for a piece of text. It is set up for transformers.
from transformers import AutoTokenizer, GPT2ForSequenceClassification
All-time downloads
36
Public
Repo size
2 GB
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1
Public
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.pt1 GB · 66%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023
- SHA
- 32280045
Try a prompt
Model card
From the Hugging Face model README
from transformers import AutoTokenizer, GPT2ForSequenceClassification
import torch
model_name= "mab/GPT2-German-sentiment"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = GPT2ForSequenceClassification.from_pretrained(model_name)
inputs = tokenizer("Mein Hund ist wunderschön", return_tensors="pt")
with torch.no_grad(): logits = model(**inputs).logits
predicted_class_id = logits.argmax().item()
class_label = model.config.id2label[predicted_class_id]
print(class_label)
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023