Text Classification
PEFT
Safetensors
English
agents
llm-agents
tool-use
function-calling
decision-making
decision-model
lora
qwen3
Instructions to use JevAgentHarness/AgentDecision-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JevAgentHarness/AgentDecision-4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B") model = PeftModel.from_pretrained(base_model, "JevAgentHarness/AgentDecision-4B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JevAgentHarness/AgentDecision-4B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/JevAgentHarness/AgentDecision-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://JevAgentHarness/AgentDecision-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JevAgentHarness/AgentDecision-4B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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