Instructions to use AminSharif/FineTunedMbertForTextClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AminSharif/FineTunedMbertForTextClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AminSharif/FineTunedMbertForTextClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AminSharif/FineTunedMbertForTextClassification") model = AutoModelForSequenceClassification.from_pretrained("AminSharif/FineTunedMbertForTextClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bed644d987bdb33468f907c60cecc7661812b1a5ad8d482249185221deb65079
- Size of remote file:
- 711 MB
- SHA256:
- 44c8384f22319ccf4ec7991af87ff58f26d8b6c20739151d9ee70bb8e079def1
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