Instructions to use acul3/roberta-base-indo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acul3/roberta-base-indo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="acul3/roberta-base-indo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("acul3/roberta-base-indo") model = AutoModelForMaskedLM.from_pretrained("acul3/roberta-base-indo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add requirements
Browse files- requirements.txt +1 -1
requirements.txt
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
jax[tpu]>=0.2.16 -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
|
| 2 |
flax
|
| 3 |
joblib
|
| 4 |
zstandard
|
|
|
|
| 1 |
+
#jax[tpu]>=0.2.16 -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
|
| 2 |
flax
|
| 3 |
joblib
|
| 4 |
zstandard
|