Text Classification
Transformers
Safetensors
themis_vl
feature-extraction
themis
decision-model
structured-prediction
probabilities
multimodal
vision-language
custom_code
lora
Instructions to use lothnic/themis-vl-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lothnic/themis-vl-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lothnic/themis-vl-2b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lothnic/themis-vl-2b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
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Release Themis 2B text and vision v1.0.0
Verified signatureComplete self-contained model selected at step 3258, with custom typed-decision inference, native vision, calibration, evaluation records, model card, and verified checksums.86bdc06