Transformers
PyTorch
bart
text2text-generation
question-answering, multi-step-reasoning, multi-hop-reasoning
Instructions to use StonyBrookNLP/bart-large-numglue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StonyBrookNLP/bart-large-numglue with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StonyBrookNLP/bart-large-numglue") model = AutoModelForSeq2SeqLM.from_pretrained("StonyBrookNLP/bart-large-numglue") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:064a009a694f252719d5c97f33989dc29ed744851f0b0526152757c3b95fa841
|
| 3 |
+
size 1625689820
|