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")# pip install -U transformers accelerate # 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
Download flax_model.msgpack from vinai/phobert-base: direct link, hf CLI and curl.
- Browser
- Download file 540 MB
-
https://huggingface.co/vinai/phobert-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://vinai/phobert-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/vinai/phobert-base/resolve/main/flax_model.msgpack
540 MB
- Xet hash:
- 26a06fa9853319ed0f65c49ae1f0f382b1c780af2a645d5923f55f64641776fd
- Size of remote file:
- 540 MB
- SHA256:
- 1786a7d75c15520fd4e51818bcd4d285f2d4cfbf86f4644b33916fa113dd2b02
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