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:
- 10a4b99da91cdf493bd3979513b94ab2ec5390d58b85c93eddf9c0cfbe53e604
- Size of remote file:
- 504 MB
- SHA256:
- 4232e65c79ba928817644bec26d6c08fb04386e710846d8981b2050dd903bf75
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