Text Classification
Transformers
PyTorch
Safetensors
Turkish
English
convbert
Trained with AutoTrain
Instructions to use tolgadev/TurkishAirlines-SentimentAnalysisModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tolgadev/TurkishAirlines-SentimentAnalysisModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tolgadev/TurkishAirlines-SentimentAnalysisModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tolgadev/TurkishAirlines-SentimentAnalysisModel") model = AutoModelForSequenceClassification.from_pretrained("tolgadev/TurkishAirlines-SentimentAnalysisModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tolgadev/TurkishAirlines-SentimentAnalysisModel: direct link, hf CLI and curl.
- Browser
- Download file 766 kB
-
https://huggingface.co/tolgadev/TurkishAirlines-SentimentAnalysisModel/resolve/main/tokenizer.json
- Command line
-
hf download hf://tolgadev/TurkishAirlines-SentimentAnalysisModel/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tolgadev/TurkishAirlines-SentimentAnalysisModel/resolve/main/tokenizer.json
766 kB
- Xet hash:
- a3437c5d2ce0bfd6235c303118f6b5e9e8db0bb7caf19677cd7351953b80e7fb
- Size of remote file:
- 766 kB
- SHA256:
- a8c0906987fb74d6b47da0c3eaef28007effc7acca6832659e68b9d6af09a309
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