Instructions to use google/t5-small-ssm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-small-ssm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-small-ssm") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-small-ssm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
2221098
1
Parent(s): 32c7a36
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e1c1cfcd9af03fbc8a5a809c349090dfb6a6de64ff3c2fbf230e7042a69973f
|
| 3 |
+
size 307852839
|