Instructions to use anilguven/electra_tr_turkish_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anilguven/electra_tr_turkish_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anilguven/electra_tr_turkish_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anilguven/electra_tr_turkish_news") model = AutoModelForSequenceClassification.from_pretrained("anilguven/electra_tr_turkish_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ae8f944fc8b0b627fa117b3ea40a27c435158ef529a03fc3e80d783f6a58eae
- Size of remote file:
- 443 MB
- SHA256:
- c46f2a16a5fad2aa3f18b3a511e349e27b91e7d52bf39a65d33f535244a52c1b
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