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:
- c3822445fcf4c6de7f9d60e052448f8127bc12c60b307d32ec023ba292730a19
- Size of remote file:
- 1.48 GB
- SHA256:
- fbc9a9b709b39abd60fe85d4c0e197892338dd5657836a9122dba01aa5f6f85a
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