Feature Extraction
sentence-transformers
Safetensors
Transformers
qwen3
text-generation
splade
sparse-encoder
code
custom_code
text-embeddings-inference
Instructions to use naver/splade-code-06B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use naver/splade-code-06B with sentence-transformers:
from sentence_transformers import SparseEncoder model = SparseEncoder("naver/splade-code-06B", trust_remote_code=True) queries = ["Which planet is known as the Red Planet?"] documents = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", ] query_embeddings = model.encode_query(queries) document_embeddings = model.encode_document(documents) similarities = model.similarity(query_embeddings, document_embeddings) print(similarities) - Transformers
How to use naver/splade-code-06B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="naver/splade-code-06B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("naver/splade-code-06B", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("naver/splade-code-06B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from naver/splade-code-06B: direct link, hf CLI and curl.
- Browser
- Download file 1.19 GB
-
https://huggingface.co/naver/splade-code-06B/resolve/fd14abc9e66633dc50cfb2a362242a150e4b64e6/model.safetensors
- Command line
-
hf download hf://naver/splade-code-06B@fd14abc9e66633dc50cfb2a362242a150e4b64e6/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/naver/splade-code-06B/resolve/fd14abc9e66633dc50cfb2a362242a150e4b64e6/model.safetensors
1.19 GB
- Xet hash:
- 6d29a1d4026e41b405c5dac42f0172d00658be0f8208d8100687bb388483036e
- Size of remote file:
- 1.19 GB
- SHA256:
- aee9f6fff1dffba0c8e09fd073ad37d0b3d477a4e7538accadc7570aeef6e550
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