Instructions to use moarslan/bert-base-turkish-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moarslan/bert-base-turkish-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moarslan/bert-base-turkish-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moarslan/bert-base-turkish-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("moarslan/bert-base-turkish-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from moarslan/bert-base-turkish-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 755 kB
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https://huggingface.co/moarslan/bert-base-turkish-sentiment-analysis/resolve/main/tokenizer.json
- Command line
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hf download hf://moarslan/bert-base-turkish-sentiment-analysis/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/moarslan/bert-base-turkish-sentiment-analysis/resolve/main/tokenizer.json
755 kB
File too large to display, you can check the raw version instead.