Instructions to use vinai/phobert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/phobert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vinai/phobert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vinai/phobert-large") model = AutoModelForMaskedLM.from_pretrained("vinai/phobert-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31858314f809787a4b6752a5136a2853799329fb554d5ed681a539b954846d60
- Size of remote file:
- 1.48 GB
- SHA256:
- 4be3329449abd3a6865d7936625f1474187b15b59a67c2fecb5a639226a94d6f
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