Feature Extraction
Transformers
Safetensors
English
smb_unstructured
text-generation
World Model
Patient Representation Encoder
Feature Extraction
Joint Embedding Predictive Architecture (JEPA)
custom_code
Instructions to use anon-9421/smb-structure-qwen3-1.7b-multi-objective with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anon-9421/smb-structure-qwen3-1.7b-multi-objective with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="anon-9421/smb-structure-qwen3-1.7b-multi-objective", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("anon-9421/smb-structure-qwen3-1.7b-multi-objective", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!