Instructions to use fionawyu/fast_coref_cn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fionawyu/fast_coref_cn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fionawyu/fast_coref_cn")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fionawyu/fast_coref_cn") model = AutoModel.from_pretrained("fionawyu/fast_coref_cn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e81c08c24969aab430a123a5dd835be10743a0b8a130b9af82d03e6f0d4b36ea
- Size of remote file:
- 418 MB
- SHA256:
- 50707c55847cee70ff6a027db233692d80bc58c1c81835506c2423d226ca5b37
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