Image-Text-to-Text
Safetensors
ColPali
sentence-transformers
sauerkrautlm-colpali
mistral3
document-retrieval
vision-language-model
multi-vector
late-interaction
visual-retrieval
ministral
pixtral
mistral
mteb
vidore
conversational
Instructions to use VAGOsolutions/SauerkrautLM-ColMinistral3-3b-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use VAGOsolutions/SauerkrautLM-ColMinistral3-3b-v0.1 with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- sentence-transformers
How to use VAGOsolutions/SauerkrautLM-ColMinistral3-3b-v0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("VAGOsolutions/SauerkrautLM-ColMinistral3-3b-v0.1") 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] - Notebooks
- Google Colab
- Kaggle
| {%- for message in messages -%} | |
| {%- set ns = namespace(text='') -%} | |
| {%- if message['content'] is string -%} | |
| {%- set ns.text = message['content'] -%} | |
| {%- else -%} | |
| {%- for item in message['content'] -%} | |
| {%- if 'text' in item -%} | |
| {%- set ns.text = ns.text + item.text -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- if task is defined and task == 'query' -%} | |
| {{- ns.text + '</s></s></s></s></s></s></s></s></s></s>' -}} | |
| {%- else -%} | |
| {{- '<s><s>[SYSTEM_PROMPT]# HOW YOU SHOULD THINK AND ANSWER\n\nFirst draft your thinking process (inner monologue) until you arrive at a response. Format your response using Markdown, and use LaTeX for any mathematical equations. Write both your thoughts and the response in the same language as the input.\n\nYour thinking process must follow the template below:[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]Here, provide a self-contained response.[/SYSTEM_PROMPT][INST][IMG][/INST]' -}} | |
| {%- endif -%} | |
| {%- endfor -%} |