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 160
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 sha256:1dc0c973fc57e5ebbe4d66623cd27f4fa465593fa3bb411edc74eea70e8eb5c1
|
| 3 |
size 647614116
|
runs/Jul25_13-34-02_9778d6fdc458/events.out.tfevents.1721914506.9778d6fdc458.34.0
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 sha256:1ddff200471b60379e30b225aada2e09933d07f34449d49ff43d38b7041778b9
|
| 3 |
+
size 11237
|