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 training_args.bin from keepitreal/MiniPhoBert-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/keepitreal/MiniPhoBert-v1/resolve/main/training_args.bin
- Command line
-
hf download hf://keepitreal/MiniPhoBert-v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/keepitreal/MiniPhoBert-v1/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- abf69f345c2a0837c36960c1058d3633c3e785d555475cf9d16ad2e239e14039
- Size of remote file:
- 3.31 kB
- SHA256:
- e6009273821eab12a16bf86d50107019316fe9e8ff5d223eb2134d6b8328f190
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