Instructions to use fastino/GLiNER2.5-Decide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fastino/GLiNER2.5-Decide with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fastino/GLiNER2.5-Decide")# pip install -U transformers accelerate # Load model directly from transformers import Gliner2ForSchemaExtraction model = Gliner2ForSchemaExtraction.from_pretrained("fastino/GLiNER2.5-Decide", device_map="auto") - GLiNER2
How to use fastino/GLiNER2.5-Decide with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("fastino/GLiNER2.5-Decide") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Inference
- Notebooks
- Google Colab
- Kaggle
Tag as text-classification (pipeline_tag only)
Browse filesCarries over the one change from #8 that is not already on `main`, as a single line on current `main`: `pipeline_tag: schema-extraction` becomes `text-classification`. Everything else in #8 (the `library_name`, the `decision-model` tag, the banner links) is left as `main` has it, because those were changed deliberately in #10, #11 and the Sep 28 banner commits.
**Why:** when this card was uploaded, the Hub's metadata validator warned that `schema-extraction` is not in its list of official pipeline tags. Hub task filters and search key off that list, and this checkpoint is used for classification (`classify_text`), which `text-classification` lists correctly.
**Trade-off, for the model owners to decide:** #11 chose `schema-extraction` on purpose, to match the native Transformers `pipeline("schema-extraction", ...)` class (`Gliner2ForSchemaExtraction`). This PR does not touch `config.json`, so that loading path is unaffected, but the card tag and that pipeline name would no longer be identical.
@MattThomas-fastino could you decide whether to take this? Credit for the original suggestion goes to @bkinge (#8).
|
@@ -3,7 +3,7 @@ library_name: transformers
|
|
| 3 |
license: apache-2.0
|
| 4 |
language:
|
| 5 |
- en
|
| 6 |
-
pipeline_tag:
|
| 7 |
tags:
|
| 8 |
- gliner2
|
| 9 |
- Text classification
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
language:
|
| 5 |
- en
|
| 6 |
+
pipeline_tag: text-classification
|
| 7 |
tags:
|
| 8 |
- gliner2
|
| 9 |
- Text classification
|