Instructions to use mennasherif/mennas_first_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mennasherif/mennas_first_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mennasherif/mennas_first_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mennasherif/mennas_first_model") model = AutoModelForSequenceClassification.from_pretrained("mennasherif/mennas_first_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 905ecbe3ff513ae343dddf059d1b8f4337756969913ba36bc6498f2e4e973c6f
- Size of remote file:
- 5.2 kB
- SHA256:
- b1e0f6175f03ff08c057452c17eb8822a1e3f52b5919a43e4dd45fd9af1669b5
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