Transformers
PyTorch
English
t5
text2text-generation
DocVQA
Document Question Answering
Document Visual Question Answering
text-generation-inference
Instructions to use rubentito/t5-base-mpdocvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rubentito/t5-base-mpdocvqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rubentito/t5-base-mpdocvqa") model = AutoModelForSeq2SeqLM.from_pretrained("rubentito/t5-base-mpdocvqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4d59769d81287ec8b246846910e32529db69fcd579bd25ee78f8895c1eec6d45
|
| 3 |
+
size 891644832
|