Feature Extraction
Transformers
Safetensors
English
diffretriever
image-feature-extraction
information-retrieval
dense-retrieval
sparse-retrieval
colbert
diffusion-language-model
lora
custom_code
Instructions to use ielabgroup/diffretriever-llada-8b-multi-q4-p4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/diffretriever-llada-8b-multi-q4-p4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ielabgroup/diffretriever-llada-8b-multi-q4-p4", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ielabgroup/diffretriever-llada-8b-multi-q4-p4", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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