Instructions to use QQhahaha/Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QQhahaha/Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("QQhahaha/Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("QQhahaha/Summarization") - 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 sha256:36ffa94784201c8460d7685ac204fcfe8dfec0c338005602efc0dd83681f6deb
|
| 3 |
+
size 1200729608
|