Instructions to use yonilev/Text2Receipt-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yonilev/Text2Receipt-parser with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "yonilev/Text2Receipt-parser") - Notebooks
- Google Colab
- Kaggle
Upload receipts_embeddings.npy with huggingface_hub
Browse files- receipts_embeddings.npy +3 -0
receipts_embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fed98c96af4a8c079dcc6b725437694aa67ad3bd53d2b8fdb2edbfa992ceb472
|
| 3 |
+
size 15398528
|