Instructions to use israel/testing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use israel/testing_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="israel/testing_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("israel/testing_model") model = AutoModelForSequenceClassification.from_pretrained("israel/testing_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7feedcdfdc64acd660c73cafd31f9952da8786a0df355bc31b11694f2c2c816
- Size of remote file:
- 3.39 kB
- SHA256:
- 1062f7202bd94330ea426b8e64d8d93e8207cc6d762fda087aceec7b23b26860
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