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:
- a41f81cd87d93cc8b65325674ac110b03632a6b037b99c28683182fc732a22c6
- Size of remote file:
- 4.47 kB
- SHA256:
- 665d84813c2fec62c4a519e233e6daca758b0e14eb502254cfecdfd474d14099
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