Instructions to use silmi224/exp2-led-risalah_data_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/exp2-led-risalah_data_v2 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_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/exp2-led-risalah_data_v2") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/exp2-led-risalah_data_v2", 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:c4f20549e3b1c4c84737361538891fce6dc79748cd7f0ca2c96ab2a3e1ed2c4c
|
| 3 |
size 647614116
|
runs/Jul21_15-46-56_77dc08e62a58/events.out.tfevents.1721576819.77dc08e62a58.100.2
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:a80365a1ded60244498e4fe867b25364fa5788385af946b17586d25c1c878219
|
| 3 |
+
size 30176
|