sentiment-polish-gpt2-small EU AI Act Compliance Profile

sentiment-polish-gpt2-small

This model was trained from polish-gpt2-small on the polemo2-official dataset. It achieves the following results on the evaluation set:

• Loss: 0.4659
• Accuracy: 0.9627

Model description

Trained from polish-gpt2-small

Intended uses & limitations

Sentiment analysis - neutral/negative/positive/ambiguous

How to use

from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"
checkpoint = "nie3e/sentiment-polish-gpt2-small"
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForSequenceClassification.from_pretrained(
    checkpoint
).to(device)

text = "Jak na cenę - super . Śniadanie nie do przejedzenia ."

input_ids = tokenizer(text, return_tensors="pt").to(device)
logits = model(**input_ids)["logits"].to("cpu")

percent = torch.sigmoid(logits).squeeze(dim=0)

id2class = model.config.id2label
print({id2class[i]: f"{(p*100):.2f}%" for i, p in enumerate(percent.tolist())})

from transformers import pipeline

pipe = pipeline(
    "sentiment-analysis",
    "nie3e/sentiment-polish-gpt2-small"
)

result = pipe("Jak na cenę - super . Śniadanie nie do przejedzenia .")
print(result)

from vllm import LLM
llm = LLM(
    "nie3e/sentiment-po

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Library

Base Model