Instructions to use EPINOIALabs/ob-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EPINOIALabs/ob-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EPINOIALabs/ob-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
adapter_config.json
CHANGED
|
@@ -7,7 +7,7 @@
|
|
| 7 |
"parent_library": "transformers.models.qwen2_5_vl.modeling_qwen2_5_vl",
|
| 8 |
"unsloth_fixed": true
|
| 9 |
},
|
| 10 |
-
"base_model_name_or_path": "
|
| 11 |
"bias": "none",
|
| 12 |
"corda_config": null,
|
| 13 |
"ensure_weight_tying": false,
|
|
|
|
| 7 |
"parent_library": "transformers.models.qwen2_5_vl.modeling_qwen2_5_vl",
|
| 8 |
"unsloth_fixed": true
|
| 9 |
},
|
| 10 |
+
"base_model_name_or_path": "nanonets/Nanonets-OCR2-3B",
|
| 11 |
"bias": "none",
|
| 12 |
"corda_config": null,
|
| 13 |
"ensure_weight_tying": false,
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 164458848
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2893d6a0bcb4522e8096618162f9140fdf1684c49e9a477e0ff300cfc9c332c
|
| 3 |
size 164458848
|