Instructions to use AIWizards/MultiPRIDE-DualEncoder-MainStage-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-MainStage-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-MainStage-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-it") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AIWizards/MultiPRIDE-DualEncoder-MainStage-it: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-MainStage-it/resolve/main/model.safetensors
- Command line
-
hf download hf://AIWizards/MultiPRIDE-DualEncoder-MainStage-it/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-MainStage-it/resolve/main/model.safetensors
443 MB
- Xet hash:
- a4513ddfcf4ba4114ab1edec6c54a1752384844688f13291e5b67c7c10511efa
- Size of remote file:
- 443 MB
- SHA256:
- 770d78559a488fdbc295e35d023e4d6654287d67a7bab5396b54018e73891ac2
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