Instructions to use paru4ik/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paru4ik/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="paru4ik/model")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("paru4ik/model") model = AutoModelForDocumentQuestionAnswering.from_pretrained("paru4ik/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2600
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 802214446
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff562c86610d726eb65db7075c7ebc1866317bf6a36f1e2b807a05aea59003a2
|
| 3 |
size 802214446
|