Instructions to use Nada81/FineTunedModelTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nada81/FineTunedModelTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nada81/FineTunedModelTest")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nada81/FineTunedModelTest") model = AutoModelForSequenceClassification.from_pretrained("Nada81/FineTunedModelTest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfb97f6f330116c4f9f84ed547afff6755d5d694c855c9b2316e59353a8246b1
- Size of remote file:
- 498 MB
- SHA256:
- b0359a9b415c69415de6ba74a50d9675c05b7014162f8134fd003b3dca7948cb
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