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")# pip install -U transformers accelerate # 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
Download model.safetensors from AIWizards/MultiPRIDE-DualEncoder-LPFT-it: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-LPFT-it/resolve/main/model.safetensors
- Command line
-
hf download hf://AIWizards/MultiPRIDE-DualEncoder-LPFT-it/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-LPFT-it/resolve/main/model.safetensors
443 MB
- Xet hash:
- d18a0b1d9b399af3ac7ca1f3bfb0cf79d70e274fa8a4305c022669fe56ce1bbf
- Size of remote file:
- 443 MB
- SHA256:
- 1ddb945708cd1392bc9b04e2056796711e1103a784e6f2c57b0bc2dd9b235402
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