Instructions to use nicolasembleton/LFM2.5-2.6B-ToolACE-n3000-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use nicolasembleton/LFM2.5-2.6B-ToolACE-n3000-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'nicolasembleton/LFM2.5-2.6B-ToolACE-n3000-ONNX'); - PEFT
How to use nicolasembleton/LFM2.5-2.6B-ToolACE-n3000-ONNX with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload export_summary.json with huggingface_hub
Browse files- export_summary.json +21 -0
export_summary.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model": "LiquidAI/LFM2.5-2.6B",
|
| 3 |
+
"adapter": "/adapters/lfm25_toolace_r16_n3000",
|
| 4 |
+
"adapter_tag": "n3000",
|
| 5 |
+
"merged_dir": "/data/merged/lfm25_toolace_r16_n3000",
|
| 6 |
+
"onnx_dir": "/data/onnx-ft-n3000",
|
| 7 |
+
"graph_mb": 0.725942,
|
| 8 |
+
"data_mb": 11837.366272,
|
| 9 |
+
"opset": 18,
|
| 10 |
+
"fp32_max_abs_diff": 0.000133514404296875,
|
| 11 |
+
"fp32_mean_abs_diff": 1.916660403367132e-05,
|
| 12 |
+
"inputs": [
|
| 13 |
+
"input_ids",
|
| 14 |
+
"attention_mask"
|
| 15 |
+
],
|
| 16 |
+
"outputs": [
|
| 17 |
+
"logits"
|
| 18 |
+
],
|
| 19 |
+
"use_cache": false,
|
| 20 |
+
"validated": true
|
| 21 |
+
}
|