Instructions to use anilguven/albert_tr_turkish_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anilguven/albert_tr_turkish_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anilguven/albert_tr_turkish_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anilguven/albert_tr_turkish_news") model = AutoModelForSequenceClassification.from_pretrained("anilguven/albert_tr_turkish_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9614e72c6f84f496c1e01f973d85fd25bc81cca63f616d25ac3bf34531dc68f
- Size of remote file:
- 3.7 kB
- SHA256:
- ea90a49e2d9564a1be655a11cd84fe9e06c37eece9c09e9bf62fe32af3f6b570
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