Instructions to use mennasherif/mennas_second_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mennasherif/mennas_second_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mennasherif/mennas_second_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mennasherif/mennas_second_model") model = AutoModelForSequenceClassification.from_pretrained("mennasherif/mennas_second_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b085fd82007ddd1d44a859536d4a1e2fed44467296a2fbc9bd90e4b03e0cd3a9
- Size of remote file:
- 5.2 kB
- SHA256:
- a47ec485b33ac0aaa3de6df034f30e617e1a58d75bd4a39dccb5aa5c24ca08ee
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