Instructions to use devve1/Splade_PP_en_v2_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devve1/Splade_PP_en_v2_onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="devve1/Splade_PP_en_v2_onnx")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("devve1/Splade_PP_en_v2_onnx") model = AutoModelForMaskedLM.from_pretrained("devve1/Splade_PP_en_v2_onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from devve1/Splade_PP_en_v2_onnx: direct link, hf CLI and curl.
- Browser
- Download file 31 Bytes
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https://huggingface.co/devve1/Splade_PP_en_v2_onnx/resolve/main/README.md
- Command line
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hf download hf://devve1/Splade_PP_en_v2_onnx/README.md
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curl -L -o README.md https://huggingface.co/devve1/Splade_PP_en_v2_onnx/resolve/main/README.md
31 Bytes
| license: apache-2.0 | |