Instructions to use ficsort/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ficsort/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ficsort/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ficsort/test") model = AutoModelForSequenceClassification.from_pretrained("ficsort/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca71f1524155ed7ce94a8734eed9c3be9661d8aeb1b799097f4de4f84bf74010
- Size of remote file:
- 738 MB
- SHA256:
- c7ffeb821d50832a897243ff6f368b974d633cf6b6ce22a07b8f26d0d6bf5e1e
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