Instructions to use emre/turkish-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emre/turkish-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emre/turkish-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emre/turkish-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("emre/turkish-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from emre/turkish-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 2.85 kB
-
https://huggingface.co/emre/turkish-sentiment-analysis/resolve/main/sample_input.pkl
- Command line
-
hf download hf://emre/turkish-sentiment-analysis/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/emre/turkish-sentiment-analysis/resolve/main/sample_input.pkl
2.85 kB
- Xet hash:
- 5523c0bbb62136d34bfc84f6840179b96818adc5a4fdac671349cf41eeff895c
- Size of remote file:
- 2.85 kB
- SHA256:
- 17e8586e53153c5bfd850fb9aa72ffb8d0cf3d67be82e1e23b3f578c8596c949
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