Instructions to use w11wo/javanese-bert-small-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/javanese-bert-small-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="w11wo/javanese-bert-small-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("w11wo/javanese-bert-small-imdb") model = AutoModelForMaskedLM.from_pretrained("w11wo/javanese-bert-small-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5e53fd51dcccf6ace92c19c1d8e7dc58cc07a185f5852f571f2e2a63b4afedb
- Size of remote file:
- 438 MB
- SHA256:
- 143ff4c5d43e8ec96c2757fdf2706276ffd59a8c4540c11e2541d01c67476224
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