Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
system-one
system-two
blocks-of-experts
typed-decisions
decision-model
calibrated-probabilities
knowledge-distillation
jev
noul
choice
score
lora
qwen3_5
dual-head
vllm
multimodal
vision
computer-use
robotics
Eval Results (legacy)
Instructions to use autotrust/AutoTrust-Decider-Mini-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autotrust/AutoTrust-Decider-Mini-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autotrust/AutoTrust-Decider-Mini-9B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("autotrust/AutoTrust-Decider-Mini-9B") model = AutoModelForCausalLM.from_pretrained("autotrust/AutoTrust-Decider-Mini-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter/adapter_config.json from autotrust/AutoTrust-Decider-Mini-9B: direct link, hf CLI and curl.
- Browser
- Download file 1.32 kB
-
https://huggingface.co/autotrust/AutoTrust-Decider-Mini-9B/resolve/main/adapter/adapter_config.json
- Command line
-
hf download hf://autotrust/AutoTrust-Decider-Mini-9B/adapter/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/autotrust/AutoTrust-Decider-Mini-9B/resolve/main/adapter/adapter_config.json
1.32 kB
| { | |
| "alora_invocation_tokens": null, | |
| "alpha_pattern": {}, | |
| "arrow_config": null, | |
| "auto_mapping": { | |
| "base_model_class": "Qwen3_5ForCausalLM", | |
| "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5" | |
| }, | |
| "base_model_name_or_path": null, | |
| "bias": "none", | |
| "corda_config": null, | |
| "ensure_weight_tying": false, | |
| "eva_config": null, | |
| "exclude_modules": null, | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "kasa_config": null, | |
| "layer_replication": null, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 32, | |
| "lora_bias": false, | |
| "lora_dropout": 0.05, | |
| "lora_ga_config": null, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "monteclora_config": null, | |
| "peft_type": "LORA", | |
| "peft_version": "0.21.0", | |
| "qalora_group_size": 16, | |
| "r": 16, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": [ | |
| "gate_proj", | |
| "in_proj_z", | |
| "q_proj", | |
| "up_proj", | |
| "out_proj", | |
| "k_proj", | |
| "in_proj_qkv", | |
| "v_proj", | |
| "down_proj", | |
| "o_proj" | |
| ], | |
| "target_parameters": null, | |
| "task_type": null, | |
| "trainable_token_indices": null, | |
| "use_bdlora": null, | |
| "use_dora": false, | |
| "use_qalora": false, | |
| "use_rslora": false, | |
| "velora_config": null | |
| } |