Instructions to use indobenchmark/indobert-lite-base-p1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indobenchmark/indobert-lite-base-p1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="indobenchmark/indobert-lite-base-p1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("indobenchmark/indobert-lite-base-p1") model = AutoModel.from_pretrained("indobenchmark/indobert-lite-base-p1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
a1479e3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5e934d3f0a095dff24acf3349458c72ae1297ca71f92f70e70e3430d005018ac
size 46739879
|