Instructions to use ShynBui/s4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s4")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s4") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s4") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
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:e43277d28128599da4b2e05caa9b5e17cdf463c8785807a9fb1f685349c5a17f
|
| 3 |
size 430952617
|
runs/Aug04_15-56-06_c83ba5c6606c/events.out.tfevents.1691164573.c83ba5c6606c.489.0
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 sha256:012f81e3c9f4f2fbdb1d86ec363f24f09397648f75d11cbd39779d041fc06f13
|
| 3 |
+
size 11767
|