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 pytorch_model.bin from tolgadev/TurkishAirlines-SentimentAnalysisModel: direct link, hf CLI and curl.
- Browser
- Download file 430 MB
-
https://huggingface.co/tolgadev/TurkishAirlines-SentimentAnalysisModel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tolgadev/TurkishAirlines-SentimentAnalysisModel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tolgadev/TurkishAirlines-SentimentAnalysisModel/resolve/main/pytorch_model.bin
430 MB
- Xet hash:
- c65ec238f35cdbacbdf225e83bf803507ab0d10a84a4d849c2840e0cb4bbeb6e
- Size of remote file:
- 430 MB
- SHA256:
- 4a553cf7e661d50947d57a30a0a11e40c2fe54733a65d560dcdd71d88d0cf7f2
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