Instructions to use silmi224/exp2-led-risalah_data_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/exp2-led-risalah_data_v1 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/exp2-led-risalah_data_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/exp2-led-risalah_data_v1") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/exp2-led-risalah_data_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 130
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:a90d5b095d22e4f16434fa2a7a0bf48aca20e24bfef17ec64884d9184b1c1c40
|
| 3 |
size 647614116
|
runs/Jul20_05-48-11_5504f68f459e/events.out.tfevents.1721454495.5504f68f459e.34.1
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 sha256:472100a47019559bbf3b6f8847aa642c6ef41363bc47ccaa9d338296d1f0192a
|
| 3 |
+
size 13942
|