Instructions to use silmi224/led-risalah_data_v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/led-risalah_data_v8 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/led-risalah_data_v8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/led-risalah_data_v8") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/led-risalah_data_v8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 80
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 sha256:3d78d9960a447d5e3239be3bc0a4f27422790d75c731157929576441b274ed1d
|
| 3 |
size 647614116
|
runs/Jul06_12-26-30_4d992a2d3e7b/events.out.tfevents.1720268805.4d992a2d3e7b.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 sha256:1ba637606eebbda4e7ebf19c03977bdc16b80e88b50b0b9d4244b4221c49a52e
|
| 3 |
+
size 11123
|