Instructions to use fathan/indojave-codemixed-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathan/indojave-codemixed-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fathan/indojave-codemixed-bert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fathan/indojave-codemixed-bert-base") model = AutoModelForMaskedLM.from_pretrained("fathan/indojave-codemixed-bert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -66,7 +66,6 @@ The following are the results obtained from the training:
|
|
| 66 |
## How to use
|
| 67 |
### Load model and tokenizer
|
| 68 |
```python
|
| 69 |
-
|
| 70 |
from transformers import AutoTokenizer, AutoModel
|
| 71 |
tokenizer = AutoTokenizer.from_pretrained("fathan/code_mixed_ijebert")
|
| 72 |
model = AutoModel.from_pretrained("fathan/code_mixed_ijebert")
|
|
|
|
| 66 |
## How to use
|
| 67 |
### Load model and tokenizer
|
| 68 |
```python
|
|
|
|
| 69 |
from transformers import AutoTokenizer, AutoModel
|
| 70 |
tokenizer = AutoTokenizer.from_pretrained("fathan/code_mixed_ijebert")
|
| 71 |
model = AutoModel.from_pretrained("fathan/code_mixed_ijebert")
|