Instructions to use linhphanff/phobert-cse-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linhphanff/phobert-cse-general with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("linhphanff/phobert-cse-general") model = AutoModel.from_pretrained("linhphanff/phobert-cse-general") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Storing intermediate result in here only. For long term, it should be stored in model repository separately. Besides binary model, you should also store model metadata such as date, size of training data.
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