Instructions to use AIWizards/MultiPRIDE-DualEncoder-LPFT-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-LPFT-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-LPFT-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-LPFT-es") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-LPFT-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AIWizards/MultiPRIDE-DualEncoder-LPFT-es: direct link, hf CLI and curl.
- Browser
- Download file 1.12 GB
-
https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-LPFT-es/resolve/main/model.safetensors
- Command line
-
hf download hf://AIWizards/MultiPRIDE-DualEncoder-LPFT-es/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AIWizards/MultiPRIDE-DualEncoder-LPFT-es/resolve/main/model.safetensors
1.12 GB
- Xet hash:
- 14551eb6433b65aa6668c774c2bee8ef575f528cb4ada2baf5c24b8a5e533918
- Size of remote file:
- 1.12 GB
- SHA256:
- 188a4f5a7a10d9e1473b4a2d93f1f1114d6ce1e673b00f7fd916fcdc5c854c1e
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