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--- |
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license: mit |
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language: |
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- tr |
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library_name: transformers |
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pipeline_tag: text-classification |
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metrics: |
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- accuracy |
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--- |
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--- |
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tags: |
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- generated_from_trainer |
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library_name: transformers |
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--- |
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# Your Model Name |
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LugatitDistilBert |
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## How to use |
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You can use this model directly with the `transformers` library: |
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```python |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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tokenizer = AutoTokenizer.from_pretrained("LugatitTurk/LugatitDistilBert") |
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model = AutoModelForSequenceClassification.from_pretrained("LugatitTurk/LugatitDistilBert") |
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inputs = tokenizer("Hello, my dog is cute", return_tensors="pt") |
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outputs = model(**inputs) |
