Text Classification
jev-style
Safetensors
minicpm
minicpm5
system-one
decision-model
probability
calibration
agent
routing
Instructions to use link921/CPM-jev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- jev-style
How to use link921/CPM-jev with jev-style:
pip install "jev-style[torch]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("link921/CPM-jev") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from link921/CPM-jev: direct link, hf CLI and curl.
- Browser
- Download file 1.24 kB
-
https://huggingface.co/link921/CPM-jev/resolve/main/adapter_config.json
- Command line
-
hf download hf://link921/CPM-jev/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/link921/CPM-jev/resolve/main/adapter_config.json
1.24 kB
| { | |
| "alora_invocation_tokens": null, | |
| "alpha_pattern": {}, | |
| "arrow_config": null, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "openbmb/MiniCPM5-2B-Base", | |
| "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": [ | |
| "up_proj", | |
| "v_proj", | |
| "k_proj", | |
| "down_proj", | |
| "o_proj", | |
| "q_proj", | |
| "gate_proj" | |
| ], | |
| "target_parameters": null, | |
| "task_type": "FEATURE_EXTRACTION", | |
| "trainable_token_indices": null, | |
| "use_bdlora": null, | |
| "use_dora": false, | |
| "use_qalora": false, | |
| "use_rslora": false, | |
| "velora_config": null | |
| } | |