Instructions to use AIWizards/MultiPRIDE-DualEncoder-LPFT-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-LPFT-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-LPFT-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-LPFT-it") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-LPFT-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ac923159b4812e18e3f67765d5e2c2faf0e668b34c7f6336f0d52b559fef891
- Size of remote file:
- 5.97 kB
- SHA256:
- 7f3315cfa5b132b1ea873f6888f3c3f86e277a102cf339979d8216b7672e4a69
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