Instructions to use Syigen/rgcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Syigen/rgcm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Syigen/rgcm")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Syigen/rgcm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 343 Bytes
8bc3969 a517021 8bc3969 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"datasets": [
"mteb/banking77",
"nyu-mll/glue:sst2",
"google/boolq"
],
"task_types": [
"choice",
"score",
"noul"
],
"encoder": "sentence-transformers/all-mpnet-base-v2",
"epochs": 50,
"batch_size": 32,
"seed": 42,
"model_version": "base-20261003-171325Z",
"generated_at": "2026-10-03T17:13:25Z"
}
|