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 90
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 sha256:213c21b396a60c6d4c3eabe4eb137eb6612ce763d14a19efbdfa6c3a031e2077
|
| 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 sha256:2dedb3105de8fe0cc77ee9469b6c7207a392ae9848724b8db84193ff531266c1
|
| 3 |
+
size 11537
|