Instructions to use vinai/phobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/phobert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vinai/phobert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vinai/phobert-base") model = AutoModelForMaskedLM.from_pretrained("vinai/phobert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26a06fa9853319ed0f65c49ae1f0f382b1c780af2a645d5923f55f64641776fd
- Size of remote file:
- 540 MB
- SHA256:
- 1786a7d75c15520fd4e51818bcd4d285f2d4cfbf86f4644b33916fa113dd2b02
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