Instructions to use vietgpt/bert-30M-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vietgpt/bert-30M-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vietgpt/bert-30M-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vietgpt/bert-30M-cased") model = AutoModelForMaskedLM.from_pretrained("vietgpt/bert-30M-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vietgpt/bert-30M-cased: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/vietgpt/bert-30M-cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vietgpt/bert-30M-cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vietgpt/bert-30M-cased/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 3f9a21380f79a274cb76781866c1b44783b93fdc8a71888cd0c2c19355e3f9dc
- Size of remote file:
- 151 MB
- SHA256:
- 6317d3e2c129ecfe9c3c24fbc3d018d2bdf2c179810b991e90abbf82fd67aa30
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