Instructions to use ShynBui/s9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s9")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s9") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s9") - 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:d78951cb8a7fbb56f3c051b4e085206086718d7a19a453afffef1402d7134d3d
|
| 3 |
size 430952617
|
runs/Aug04_16-51-19_fde4b62ffd71/events.out.tfevents.1691167895.fde4b62ffd71.1726.0
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:c279ce7b6c42b2d10f80d7f047f001afccab74e1b54ddd70a83377a3f6f6ae50
|
| 3 |
+
size 15287
|