Instructions to use silmi224/exp2-led-risalah_data_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/exp2-led-risalah_data_v6 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_v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/exp2-led-risalah_data_v6") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/exp2-led-risalah_data_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 560
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:f08ccfaa0285c8377362dcd58fb92b7ef76385c187e10e3dfd25a468704c2d12
|
| 3 |
size 647614116
|
runs/Jul26_03-38-16_be52605a26a8/events.out.tfevents.1721965102.be52605a26a8.34.0
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 sha256:5d79a6821e3d22d996a9b9463105bf5cd1c3ae0afaa7db00f8899df3069c99b2
|
| 3 |
+
size 13111
|