Instructions to use keepitreal/MiniPhoBert-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keepitreal/MiniPhoBert-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="keepitreal/MiniPhoBert-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("keepitreal/MiniPhoBert-v1") model = AutoModelForMaskedLM.from_pretrained("keepitreal/MiniPhoBert-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from keepitreal/MiniPhoBert-v1: direct link, hf CLI and curl.
- Browser
- Download file 81.5 MB
-
https://huggingface.co/keepitreal/MiniPhoBert-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://keepitreal/MiniPhoBert-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/keepitreal/MiniPhoBert-v1/resolve/main/pytorch_model.bin
81.5 MB
- Xet hash:
- 0110e1fef629cb83839190094fc4603242af3b6ae730d85408fd83b42dd2cb16
- Size of remote file:
- 81.5 MB
- SHA256:
- b0ef8c8762a367549dc8b59fbbcc6b83432ccc17ded540c2ca6c4867668bae69
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