Feature Extraction
Transformers
Safetensors
English
modernvbert
sparse-retrieval
splade
visual-document-retrieval
multimodal
information-retrieval
inference-free
Instructions to use naver/v-splade-efficient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naver/v-splade-efficient with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="naver/v-splade-efficient")# Load model directly from transformers import AutoProcessor, BiModernVBert processor = AutoProcessor.from_pretrained("naver/v-splade-efficient") model = BiModernVBert.from_pretrained("naver/v-splade-efficient") - Notebooks
- Google Colab
- Kaggle
| { | |
| "chat_template": "{% for message in messages %}{{message['role'] | capitalize}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}<end_of_utterance>\n{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}" | |
| } |