Instructions to use savasy/bert-base-turkish-sentiment-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use savasy/bert-base-turkish-sentiment-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="savasy/bert-base-turkish-sentiment-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("savasy/bert-base-turkish-sentiment-cased") model = AutoModelForSequenceClassification.from_pretrained("savasy/bert-base-turkish-sentiment-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
330ec37
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Parent(s): 10a180d
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1a430a0686f01d196df33f8d9342497077e93ef201e1007a476da0e5eecb3ba
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size 442482744
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