Instructions to use gurkan08/turkish-product-comment-sentiment-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gurkan08/turkish-product-comment-sentiment-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gurkan08/turkish-product-comment-sentiment-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gurkan08/turkish-product-comment-sentiment-classification") model = AutoModelForSequenceClassification.from_pretrained("gurkan08/turkish-product-comment-sentiment-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc10db14d271fc3e48338cf11fb80ad595aacfeacc63834a8b714b072e29321b
- Size of remote file:
- 443 MB
- SHA256:
- 0ac46fdedb7fb7d670d6d3f713d860484fd42b3ee836bee9e700d3ace95d31f8
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