Instructions to use Jingya/tiny-random-t5-neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jingya/tiny-random-t5-neuronx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jingya/tiny-random-t5-neuronx", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload decoder/config.json with huggingface_hub
Browse files- decoder/config.json +1 -1
decoder/config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "/tmp/
|
| 3 |
"bos_token_id": 0,
|
| 4 |
"classifier_dropout": 0.0,
|
| 5 |
"d_ff": 37,
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "/tmp/tmpbxwt4h2r/decoder/config.json",
|
| 3 |
"bos_token_id": 0,
|
| 4 |
"classifier_dropout": 0.0,
|
| 5 |
"d_ff": 37,
|