Instructions to use simjo/model1_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simjo/model1_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simjo/model1_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simjo/model1_test") model = AutoModelForSequenceClassification.from_pretrained("simjo/model1_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fcbaec9bb71a39d2f8f43f45c0edde9995b478126ccaa8bc61df037c7d2802b
- Size of remote file:
- 443 MB
- SHA256:
- c1c86252580b13ddd2d87fe8778029900ee2f98eea8837a17f88b96be32edf33
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