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")# 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 complete
Browse files
runs/Jul26_03-38-16_be52605a26a8/events.out.tfevents.1721980259.be52605a26a8.34.1
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:af22ea9c20eb00dfe1fe62ab8ac7647562b7b4d5eecd37a7423ef72daa76d3e6
|
| 3 |
+
size 1036
|