Instructions to use hungphongtrn/phobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/phobert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hungphongtrn/phobert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/phobert-base") model = AutoModelForTokenClassification.from_pretrained("hungphongtrn/phobert-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d13c57a746d41dd1b6abeedcb69c485f8477aed62ca96013301b5d4a502729d
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size 537768468
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