Instructions to use Geotrend/bert-base-vi-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-vi-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-vi-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-vi-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-vi-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-vi-cased: direct link, hf CLI and curl.
- Browser
- Download file 398 MB
-
https://huggingface.co/Geotrend/bert-base-vi-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-vi-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-vi-cased/resolve/main/flax_model.msgpack
398 MB
- Xet hash:
- 90df742115bcb2b4c75c752cdb3133e524ac5e26af93c66ee0df340748f2aed8
- Size of remote file:
- 398 MB
- SHA256:
- 60dfca37c6ebbb0040dc23a220949cb969fdf55bd28620c3b120de81eddbfaed
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.