Instructions to use jed351/bart-zh-hk-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jed351/bart-zh-hk-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jed351/bart-zh-hk-wiki")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jed351/bart-zh-hk-wiki") model = AutoModelForSeq2SeqLM.from_pretrained("jed351/bart-zh-hk-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 267f266bc0e8b18cba7adda9f0b9a3b90eb4e9c833277cd71d2a23f7c84956a0
- Size of remote file:
- 557 Bytes
- SHA256:
- 83caee8b9af2828b7ad1c11fed6c614a6a10fb4014f29e5af58bfaa914cc6adc
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