Instructions to use ShynBui/s17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s17")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s17") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s17") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430952617
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2257658bfb25874c96900d0e95e45440f2c7f1a324d716aaf7891278ad998bf
|
| 3 |
size 430952617
|
runs/Aug04_20-00-19_a29c6077d770/events.out.tfevents.1691179226.a29c6077d770.1844.0
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 sha256:564b394f4c69c5d051e9e63388e7f25f1c009cf47f7d49ebaf65c5278014ad05
|
| 3 |
+
size 9531
|