Text Classification
GLiNER
English
coreai
coreai-aimodel
core-ai
coreaikit
apple
on-device
zero-shot-classification
deberta
typed-decisions
Instructions to use mlboydaisuke/GLiNER2.5-Decide-CoreAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use mlboydaisuke/GLiNER2.5-Decide-CoreAI with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("mlboydaisuke/GLiNER2.5-Decide-CoreAI") - Notebooks
- Google Colab
- Kaggle
File size: 594 Bytes
7464c91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"_attn_implementation_autoset": true,
"_name_or_path": "/home/urchadezaratiana/checkpoints/checkpoint-45500",
"architecture": "span",
"architecture_version": 1,
"architectures": [
"SpanExtractor"
],
"attn_implementation": "sdpa",
"config_version": 3,
"counting_layer": "count_lstm",
"max_len": null,
"max_width": 8,
"model_name": "microsoft/deberta-v3-large",
"model_type": "extractor",
"span_head": {
"dropout": 0.1,
"max_width": 8,
"span_mode": "markerV0"
},
"token_pooling": "first",
"transformers_version": "4.48.1",
"use_moe": false
}
|