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")# 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
- Xet hash:
- 564a94155151da73235afc38e9f43b2cf10fbde1c449d001df8d64fd9cd48f1b
- Size of remote file:
- 3.5 kB
- SHA256:
- 66084959acf8c4c8ca469eb3e75a26aaa05ebab1f8dd126fb2ddfc167242d0bd
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