Instructions to use niuca/T5-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use niuca/T5-learning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("niuca/T5-learning") model = AutoModelForSeq2SeqLM.from_pretrained("niuca/T5-learning") - Notebooks
- Google Colab
- Kaggle
Upload spiece.model
Browse files- spiece.model +3 -0
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e3722a968d6422a0bec4d3cf3a398aa3ff6ccb0dabb02d2f3eeb629b8cb043b6
|
| 3 |
+
size 794988
|