Instructions to use YidaM4396/BERT_Weibo_Rumor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YidaM4396/BERT_Weibo_Rumor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="YidaM4396/BERT_Weibo_Rumor")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("YidaM4396/BERT_Weibo_Rumor") model = AutoModelForMaskedLM.from_pretrained("YidaM4396/BERT_Weibo_Rumor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28f231d5c34285c02ab50d4fa6bf23002cab15e4734e53d61a4cd089e373d599
- Size of remote file:
- 409 MB
- SHA256:
- abf91b9f4252e94d9ec33dd2695fd9b0b67f9b7041a5535cc6e098e32f4e8734
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