Upload folder using huggingface_hub
Browse files- README.md +35 -0
- adapter_config.json +60 -0
- adapter_model.safetensors +3 -0
README.md
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: gliner
|
| 3 |
+
pipeline_tag: token-classification
|
| 4 |
+
license: mit
|
| 5 |
+
tags:
|
| 6 |
+
- gliner
|
| 7 |
+
- classification
|
| 8 |
+
- data-use
|
| 9 |
+
- v0
|
| 10 |
+
- alpha
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# datause-impact-v0
|
| 14 |
+
|
| 15 |
+
Fine-tuned GLiNER2 adapter for multi-task classification in Data Use impact assessment pipeline.
|
| 16 |
+
|
| 17 |
+
**Architecture:** LoRA adapter for `fastino/gliner2-large-v1`
|
| 18 |
+
**Tasks:** usage, typology, purpose_action
|
| 19 |
+
**Status:** v0 alpha — initial fine-tuning.
|
| 20 |
+
|
| 21 |
+
## Usage
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
from gliner import GLiNER2
|
| 25 |
+
|
| 26 |
+
model = GLiNER2.from_pretrained("fastino/gliner2-large-v1")
|
| 27 |
+
model.load_adapter("ai4data/datause-impact-v0")
|
| 28 |
+
```
|
| 29 |
+
|
| 30 |
+
## Pipeline Integration
|
| 31 |
+
|
| 32 |
+
Call 2 in 3-model swarm:
|
| 33 |
+
- Call 1: Entity extraction (`ai4data/datause-extraction`)
|
| 34 |
+
- Call 1b: Relation extraction (`ai4data/datause-relation-v0`)
|
| 35 |
+
- **Call 2: Classification (this model)**
|
adapter_config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "GLiNER2",
|
| 7 |
+
"parent_library": "gliner2.inference.engine"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": "fastino/gliner2-large-v1",
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
+
"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
+
"init_lora_weights": true,
|
| 18 |
+
"layer_replication": null,
|
| 19 |
+
"layers_pattern": null,
|
| 20 |
+
"layers_to_transform": null,
|
| 21 |
+
"loftq_config": {},
|
| 22 |
+
"lora_alpha": 32.0,
|
| 23 |
+
"lora_bias": false,
|
| 24 |
+
"lora_dropout": 0.0,
|
| 25 |
+
"lora_ga_config": null,
|
| 26 |
+
"megatron_config": null,
|
| 27 |
+
"megatron_core": "megatron.core",
|
| 28 |
+
"modules_to_save": null,
|
| 29 |
+
"peft_type": "LORA",
|
| 30 |
+
"peft_version": "0.19.1",
|
| 31 |
+
"qalora_group_size": 16,
|
| 32 |
+
"r": 16,
|
| 33 |
+
"rank_pattern": {},
|
| 34 |
+
"revision": null,
|
| 35 |
+
"target_modules": [
|
| 36 |
+
"project_start.0",
|
| 37 |
+
"count_pred.0",
|
| 38 |
+
"out_project.3",
|
| 39 |
+
"project_start.3",
|
| 40 |
+
"projector.2",
|
| 41 |
+
"dense",
|
| 42 |
+
"project_end.0",
|
| 43 |
+
"project_end.3",
|
| 44 |
+
"out_project.0",
|
| 45 |
+
"query_proj",
|
| 46 |
+
"classifier.2",
|
| 47 |
+
"value_proj",
|
| 48 |
+
"classifier.0",
|
| 49 |
+
"count_pred.2",
|
| 50 |
+
"key_proj",
|
| 51 |
+
"projector.0"
|
| 52 |
+
],
|
| 53 |
+
"target_parameters": null,
|
| 54 |
+
"task_type": null,
|
| 55 |
+
"trainable_token_indices": null,
|
| 56 |
+
"use_bdlora": null,
|
| 57 |
+
"use_dora": false,
|
| 58 |
+
"use_qalora": false,
|
| 59 |
+
"use_rslora": false
|
| 60 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c71e43624ee0a30eac70c49316172bfb0b51ca92e04ad4f5c2a174a876717651
|
| 3 |
+
size 31766440
|