Instructions to use JMwagunda/SW-ENG-MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JMwagunda/SW-ENG-MODEL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JMwagunda/SW-ENG-MODEL") model = AutoModelForSeq2SeqLM.from_pretrained("JMwagunda/SW-ENG-MODEL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload best_checkpoint.pth with huggingface_hub
Browse files- best_checkpoint.pth +2 -2
best_checkpoint.pth
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:f4c43929bd4404893dbf69f46d83634759fc4f616e2a86cdbc01324767c13cd9
|
| 3 |
+
size 894616619
|