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 SentenceTransformer model = SentenceTransformer("naver/splade-code-06B", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - 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)# 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) - Notebooks
- Google Colab
- Kaggle
Remove unused "chat_template" (#2)
Browse files- Remove unused "chat_template" (9bf3daec96c3a0a2c876184f3e6b2d9c679f3f8b)
Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>
- tokenizer_config.json +0 -1
tokenizer_config.json
CHANGED
|
@@ -24,7 +24,6 @@
|
|
| 24 |
"model_max_length": 131072,
|
| 25 |
"padding_side": "left",
|
| 26 |
"pad_token": "<|endoftext|>",
|
| 27 |
-
"chat_template": null,
|
| 28 |
"split_special_tokens": false,
|
| 29 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 30 |
"unk_token": null
|
|
|
|
| 24 |
"model_max_length": 131072,
|
| 25 |
"padding_side": "left",
|
| 26 |
"pad_token": "<|endoftext|>",
|
|
|
|
| 27 |
"split_special_tokens": false,
|
| 28 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
"unk_token": null
|