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
TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture
#8 opened 26 days ago
by
vigneshwar234
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
Using phobert-base for spelling checking
🔥 1
#6 opened over 2 years ago
by
ngthtrong271
Adds missing tokenizer configuration file
#5 opened over 2 years ago
by
lysandre
Adding `safetensors` variant of this model
#3 opened over 3 years ago
by
SFconvertbot
Update README.md
#2 opened almost 4 years ago
by
lbourdois