Instructions to use TFLai/turkish-bert-128k-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TFLai/turkish-bert-128k-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TFLai/turkish-bert-128k-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TFLai/turkish-bert-128k-sentiment") model = AutoModelForSequenceClassification.from_pretrained("TFLai/turkish-bert-128k-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15139fc2533b36cca4d33f1433506faff60c44405f3a0b1afa45f8a4dd827ce0
- Size of remote file:
- 737 MB
- SHA256:
- 80f1c31cabf7ad8c8f9d5a9abd56ac41778d3452495e0236460cb07d6b340619
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