Instructions to use imagine0711/bert-base-chinese-finetuned-tcfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imagine0711/bert-base-chinese-finetuned-tcfd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="imagine0711/bert-base-chinese-finetuned-tcfd")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("imagine0711/bert-base-chinese-finetuned-tcfd") model = AutoModelForMaskedLM.from_pretrained("imagine0711/bert-base-chinese-finetuned-tcfd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20ae27694fbb635c7584f60d32d4920bd0aae88c0253284bb18b9f90f4453b44
- Size of remote file:
- 476 MB
- SHA256:
- 357729aeb5443c55d76996c942cfd54cda6ce7108ee14626387208bc57244aaf
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