Instructions to use Leonardolin/mt5-NTCIR17-3classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonardolin/mt5-NTCIR17-3classification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Leonardolin/mt5-NTCIR17-3classification") model = AutoModelForSeq2SeqLM.from_pretrained("Leonardolin/mt5-NTCIR17-3classification") - 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:df36f1e2618a8abb9a7d4c71316de186f8f19fba85d65d79d1f00699476366b9
|
| 3 |
+
size 1200729560
|