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
GLiNER2.5-Decide on Core AI: fp16 graphs S=256/512 (macos JIT, ios h19p AOT), tokenizer, classifier.json, gate fixtures, LICENSE/NOTICE
7464c91 verified | { | |
| "_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 | |
| } | |