Instructions to use chloebi98/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chloebi98/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chloebi98/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chloebi98/test_model") model = AutoModelForSequenceClassification.from_pretrained("chloebi98/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06d4411fdceed9b008feff95c953c98e1b0f855828acb2ad46b9e6ed8ac7a423
- Size of remote file:
- 4.66 kB
- SHA256:
- 1a287ea05f780e9521b2c59e05cb44791efb341a6f3c254e6e2145192f9c0a43
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