Instructions to use htdung167/ViLegalBERT-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use htdung167/ViLegalBERT-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="htdung167/ViLegalBERT-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("htdung167/ViLegalBERT-v0") model = AutoModelForMaskedLM.from_pretrained("htdung167/ViLegalBERT-v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29befc4d9ec2b65a8459a1e7e41309e17ad1cdf0a0bebf4b7e7dbd47e8b4c07e
- Size of remote file:
- 5.91 kB
- SHA256:
- 92f240d709008d63bcb81f0b5d250b522c382400e96c51830fccdf3c03413ad7
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