Instructions to use AIWizards/MultiPRIDE-DualEncoder-MainStage-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-MainStage-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-MainStage-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-es") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AIWizards/MultiPRIDE-DualEncoder-MainStage-es: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-MainStage-es/resolve/0180b35bed0cecb67ae20507be759f678d2da9fe/training_args.bin
- Command line
-
hf download hf://AIWizards/MultiPRIDE-DualEncoder-MainStage-es@0180b35bed0cecb67ae20507be759f678d2da9fe/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-MainStage-es/resolve/0180b35bed0cecb67ae20507be759f678d2da9fe/training_args.bin
5.97 kB
- Xet hash:
- b9dd95d6400763ffb30c6b1f2ef98709bc0b92614ea68a433abef1100ef0204d
- Size of remote file:
- 5.97 kB
- SHA256:
- 9c92072f74663a9427f16d32e7d568fb8fa0f79676330af7ff644fd0d98c5831
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