Text Classification
Transformers
Safetensors
English
fev
feature-extraction
lumma-fev
decision-model
typesafe-compatible
custom_code
Instructions to use FrontiersMind/Lumma-fev-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FrontiersMind/Lumma-fev-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FrontiersMind/Lumma-fev-0.6b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FrontiersMind/Lumma-fev-0.6b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Independent run on typed decisions: ours 0.4815 overall - what does your harness give?
6
#5 opened 11 days ago
by
saidutta69
Update README.md
#2 opened 20 days ago
by
shashiaiml