Instructions to use HillZhang/pseudo_native_bart_CGEC_thesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HillZhang/pseudo_native_bart_CGEC_thesis with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HillZhang/pseudo_native_bart_CGEC_thesis") model = AutoModelForSeq2SeqLM.from_pretrained("HillZhang/pseudo_native_bart_CGEC_thesis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from HillZhang/pseudo_native_bart_CGEC_thesis: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
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https://huggingface.co/HillZhang/pseudo_native_bart_CGEC_thesis/resolve/main/special_tokens_map.json
- Command line
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hf download hf://HillZhang/pseudo_native_bart_CGEC_thesis/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/HillZhang/pseudo_native_bart_CGEC_thesis/resolve/main/special_tokens_map.json
153 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"} |