Instructions to use XvKuoMing/bart-caser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XvKuoMing/bart-caser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("XvKuoMing/bart-caser") model = AutoModelForSeq2SeqLM.from_pretrained("XvKuoMing/bart-caser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25eaf34041a90b23b4b68f10a37f9d42a3729cad42818ffb90e99d80af859995
- Size of remote file:
- 1.52 GB
- SHA256:
- 549c58a723d2632ea1fdac15e478b9bbaa421703d4f1a50be4da28d4c8df333c
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