Instructions to use ArisuNguyen/retrained_bart_vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArisuNguyen/retrained_bart_vn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ArisuNguyen/retrained_bart_vn")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ArisuNguyen/retrained_bart_vn") model = AutoModelForQuestionAnswering.from_pretrained("ArisuNguyen/retrained_bart_vn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6399ab657bda0f4385382b3f1cfe94fd9ff178ee4e5bb07c62f970010c92b7c7
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size 1625234592
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