Instructions to use Hung1001/bart_nospace_drop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hung1001/bart_nospace_drop with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hung1001/bart_nospace_drop") model = AutoModelForSeq2SeqLM.from_pretrained("Hung1001/bart_nospace_drop", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e2b60298da09bf2c8c1084e635925942fc5cb74b3fc8aa77ab9cdc1fb11a064
- Size of remote file:
- 4.73 kB
- SHA256:
- f9183933742f81cb6f18923060b00e904f7a27f2ff2aee236f277707c8900eda
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