Feature Extraction
Transformers
Safetensors
valen_qwen
valen
decision-making
shared-state
qwen3.5
custom-code
custom_code
Instructions to use Valen-Team/Valen-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Valen-Team/Valen-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Valen-Team/Valen-4B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Valen-Team/Valen-4B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Valen-Team/Valen-4B: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/Valen-Team/Valen-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://Valen-Team/Valen-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Valen-Team/Valen-4B/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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