Text Classification
Transformers
Safetensors
English
qwen3_5
feature-extraction
decision-model
classification
Instructions to use Futurix-AI/FxAI-decision-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Futurix-AI/FxAI-decision-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Futurix-AI/FxAI-decision-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Futurix-AI/FxAI-decision-model") model = AutoModel.from_pretrained("Futurix-AI/FxAI-decision-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Futurix-AI/FxAI-decision-model: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/Futurix-AI/FxAI-decision-model/resolve/main/tokenizer.json
- Command line
-
hf download hf://Futurix-AI/FxAI-decision-model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Futurix-AI/FxAI-decision-model/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 2a755d392222f1e33a6738ca7a6f17fb10e85667af40eb967a8009b05962907a
- Size of remote file:
- 20 MB
- SHA256:
- e0c0c32953b8f1ce855071083a3b8388ec5a562cfc51e7e3c9fac8e6de7b5448
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