Instructions to use silmi224/led-risalah_data_v16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/led-risalah_data_v16 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_v16")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/led-risalah_data_v16") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/led-risalah_data_v16") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10
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 sha256:92cf34f1ec56302439e9226e2e7811b1e5d068026dd441c042f0b966f5d2e444
|
| 3 |
size 647614116
|
runs/Jul10_14-59-21_6cbcad150f92/events.out.tfevents.1720623567.6cbcad150f92.435.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0170e58bab831d098e398a1e6487920be37fe7b5bfe763213dfd2f632cf5a955
|
| 3 |
+
size 5831
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:213de700087e24a4ca6901fcfd346040c1f9cb982d27c29510036e6f92218dfe
|
| 3 |
size 5240
|