Instructions to use dd3434/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd3434/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dd3434/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dd3434/test_model") model = AutoModelForSequenceClassification.from_pretrained("dd3434/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 854fb3b9027aaaf21d06943e8385c43488eb657ebca4471b00a96b0fb6c696c6
- Size of remote file:
- 406 MB
- SHA256:
- 6c42bb8a4fa58986851aa22214daf4ad2b6a201b335c2b085418d7c81d406569
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