Instructions to use keepitreal/MiniPhoBert-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keepitreal/MiniPhoBert-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="keepitreal/MiniPhoBert-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("keepitreal/MiniPhoBert-v1") model = AutoModelForMaskedLM.from_pretrained("keepitreal/MiniPhoBert-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56646a02436ebb58a97dfa90496a8c546cc957c30172e52b222e77b80d31fb50
- Size of remote file:
- 81.4 MB
- SHA256:
- da90b30f8924b7c712b4205cdf9c03bcba9441d92d962b16b4ad92a01e8ec84f
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