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:
- 90d2f5b38414e3bd78ca15d150cba42d9c5615eea7dc1605fa993d9cd816fde0
- Size of remote file:
- 3.7 kB
- SHA256:
- caf956dead6cadf57b332eddff74e5a6f2e5bbc9248d595b6515571ae34432f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.