Instructions to use VRLLab/TurkishBERTweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VRLLab/TurkishBERTweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="VRLLab/TurkishBERTweet")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("VRLLab/TurkishBERTweet") model = AutoModelForMaskedLM.from_pretrained("VRLLab/TurkishBERTweet") - Notebooks
- Google Colab
- Kaggle
pytorch_model is added
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5fdbc361f60c5f82c9f3b63e163c94cb36f8e08caa60370c958d7741339226fd
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size 651843755
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