Instructions to use ShengdingHu/mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/mnli with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/mnli") model = AutoModelForSeq2SeqLM.from_pretrained("ShengdingHu/mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3068e8b
1
Parent(s): 7e2588f
Training in progress, step 36600
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 879301
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bdfb512370fcea73381eeb0514c6a991dba6a273c06ea980b8bede0fa1cf5421
|
| 3 |
size 879301
|
runs/Feb02_23-50-32_node4/events.out.tfevents.1643817150.node4
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d14fe60160b8ef9595777260460270c05b80ae66b529e4c4f123f38c94a2640
|
| 3 |
+
size 75087
|