Instructions to use Arvind0101/static-query-splade-code-docs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arvind0101/static-query-splade-code-docs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Arvind0101/static-query-splade-code-docs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Arvind0101/static-query-splade-code-docs") model = AutoModelForMaskedLM.from_pretrained("Arvind0101/static-query-splade-code-docs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Arvind0101/static-query-splade-code-docs: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
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https://huggingface.co/Arvind0101/static-query-splade-code-docs/resolve/main/README.md
- Command line
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hf download hf://Arvind0101/static-query-splade-code-docs/README.md
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curl -L -o README.md https://huggingface.co/Arvind0101/static-query-splade-code-docs/resolve/main/README.md
159 Bytes
| license: cc-by-nc-sa-4.0 | |
| base_model: | |
| - naver/splade-v3 | |
| library_name: transformers | |
| tags: | |
| - splade | |
| - sparse-retrieval | |
| - code-documentation | |
| language: | |
| - en | |