Summarization
Transformers
PyTorch
English
t5
text2text-generation
aws
aws blogs
text-generation-inference
Instructions to use 1warden2/T5XSum_AWSBlogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1warden2/T5XSum_AWSBlogs with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="1warden2/T5XSum_AWSBlogs")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("1warden2/T5XSum_AWSBlogs") model = AutoModelForSeq2SeqLM.from_pretrained("1warden2/T5XSum_AWSBlogs") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:07e300f8b463e80e25a5c7e21f22ad5daf51bb059329b8aec154f512b54aa742
|
| 3 |
+
size 2950734544
|