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 3234
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 442280976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d16b67fa97fda9dd342a07d0c9bab825d68bcccd96c629f97983258167d227df
|
| 3 |
size 442280976
|
runs/Jun17_12-02-21_34a384f90984/events.out.tfevents.1718625744.34a384f90984.35.2
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 sha256:11eb1f4b359710c4124c6c722f65accb861adec5b1454ad81373e86cf4048c03
|
| 3 |
+
size 349324
|