Fill-Mask
Transformers
PyTorch
TensorBoard
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roberta
Generated from Trainer
Instructions to use fathan/indojave-codemixed-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathan/indojave-codemixed-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fathan/indojave-codemixed-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fathan/indojave-codemixed-roberta-base") model = AutoModelForMaskedLM.from_pretrained("fathan/indojave-codemixed-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8066d1be59831e3d67c9f034b47ac361ab7917d3a4fe89c62002907d3f79e501
- Size of remote file:
- 3.5 kB
- SHA256:
- 7592febb2b311215181e8b1690a5166cc6a030940a291ecd4a81e989eed5dada
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