Instructions to use dafqi/IndoBERTLarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafqi/IndoBERTLarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dafqi/IndoBERTLarge")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dafqi/IndoBERTLarge") model = AutoModelForSequenceClassification.from_pretrained("dafqi/IndoBERTLarge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1848
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1340647360
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8038c6cdf0a6d8bec0109172404a881c415eb52b2b84f992db86dac9e867c1d
|
| 3 |
size 1340647360
|
runs/Jun17_08-40-35_5f3b4f707522/events.out.tfevents.1718613637.5f3b4f707522.34.1
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:b25ebf3dd15143243e97450d55d4027630db3bda7489c5b3ad04e3906f8982b6
|
| 3 |
+
size 202435
|