Instructions to use mamiksik/T5-commit-message-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mamiksik/T5-commit-message-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mamiksik/T5-commit-message-generator") model = AutoModelForSeq2SeqLM.from_pretrained("mamiksik/T5-commit-message-generator") - Notebooks
- Google Colab
- Kaggle
Experiment ID: 3p708zxo
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "/home/s2498103/bsc-model/src/../output-model/
|
| 3 |
"architectures": [
|
| 4 |
"T5ForConditionalGeneration"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "/home/s2498103/bsc-model/model-scripts/src/../output-model/3p708zxo",
|
| 3 |
"architectures": [
|
| 4 |
"T5ForConditionalGeneration"
|
| 5 |
],
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 891625617
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:712c704a8f47934db84a71c34a5b7e900f2182ecba546d4efb19015ec9b7d678
|
| 3 |
size 891625617
|