Instructions to use silmi224/led-risalah_data_v17_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/led-risalah_data_v17_2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="silmi224/led-risalah_data_v17_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/led-risalah_data_v17_2") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/led-risalah_data_v17_2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 390
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 647614116
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4bca2a9a59a23295bbe7b983a693998c498fdc7f0f85cf82fdaf72d00c29564d
|
| 3 |
size 647614116
|
runs/Jul14_06-45-27_440e4b9c3897/events.out.tfevents.1720939528.440e4b9c3897.696.0
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 sha256:464b2f96122465fa6664c48fe01305391c960994017b07c7ae44dcc2636b3b1f
|
| 3 |
+
size 22803
|