Text Classification
Transformers
Safetensors
English
qwen3
text-generation
decision-model
structured-decisions
calibration
probability-estimation
text-embeddings-inference
Instructions to use TriusAI/kapteeni-v1-meticulous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TriusAI/kapteeni-v1-meticulous with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TriusAI/kapteeni-v1-meticulous")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TriusAI/kapteeni-v1-meticulous") model = AutoModelForCausalLM.from_pretrained("TriusAI/kapteeni-v1-meticulous", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!