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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0b0f0912c710147fbaac015b0a4011216a0061a56c03b840b639e40d3bb49cc
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size 542923308
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