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:
# pip install -U transformers accelerate # 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 ·
beaead7
1
Parent(s): d648036
Training in progress, step 27200
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 sha256:907a45b3387dd684a0d58409298762b1b9e0028904b80072b2ee2ee4b1d73a0e
|
| 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 sha256:00959a3f0909bdf0d93c927074ffcccfa9ee38b64394546863971bfaa55f7f2e
|
| 3 |
+
size 56631
|