Instructions to use shensq0814/DIALECT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shensq0814/DIALECT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shensq0814/DIALECT") model = AutoModelForSeq2SeqLM.from_pretrained("shensq0814/DIALECT") - Notebooks
- Google Colab
- Kaggle
Commit ·
6df18ab
1
Parent(s): 8d24a37
Add the arxiv link for the paper
Browse files
README.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
-
The pretrained checkpoint for the paper [Multiview Contextual Commonsense Inference: A New Dataset and Task](https://).
|
| 5 |
|
| 6 |
The model is trained based on the [T5-large](https://huggingface.co/t5-large) checkpoint.
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
+
The pretrained checkpoint for the paper [Multiview Contextual Commonsense Inference: A New Dataset and Task](https://arxiv.org/abs/2210.02890).
|
| 5 |
|
| 6 |
The model is trained based on the [T5-large](https://huggingface.co/t5-large) checkpoint.
|