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
Download model.safetensors from Arvind0101/static-query-splade-code-docs: direct link, hf CLI and curl.
- Browser
- Download file 183 MB
-
https://huggingface.co/Arvind0101/static-query-splade-code-docs/resolve/main/model.safetensors
- Command line
-
hf download hf://Arvind0101/static-query-splade-code-docs/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Arvind0101/static-query-splade-code-docs/resolve/main/model.safetensors
183 MB
- Xet hash:
- e74d49b189a0f390381fbbf2d94023fbf7bcaefcc9be704314b097d7216dcea3
- Size of remote file:
- 183 MB
- SHA256:
- 45b46fee0706f23d3046451be570c27ded485cad1676a9ca1c755f97ac97b536
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