Instructions to use mahmoudmohammad/temp_results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahmoudmohammad/temp_results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahmoudmohammad/temp_results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahmoudmohammad/temp_results") model = AutoModelForSequenceClassification.from_pretrained("mahmoudmohammad/temp_results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31b6fbe47ca8679867b01e4d70cca0d336cf643316c89bde48ce81694cfbe0c8
- Size of remote file:
- 5.2 kB
- SHA256:
- efebe3df50b24323f65f166110eb9e60b13cac13c4e1d50f586af7a04d816ea1
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