Zero-Shot Classification
Transformers
Safetensors
English
qwen4_exp_text
text-generation
system-one
decision-model
whittle
qwen4_exp
mixture-of-experts
knowledge-distillation
calibrated
llama.cpp
preview
Instructions to use logic65/Whittle-Reflex-25B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use logic65/Whittle-Reflex-25B-A3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="logic65/Whittle-Reflex-25B-A3B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("logic65/Whittle-Reflex-25B-A3B") model = AutoModelForCausalLM.from_pretrained("logic65/Whittle-Reflex-25B-A3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K