Instructions to use thu-coai/roberta-base-cdconv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-coai/roberta-base-cdconv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thu-coai/roberta-base-cdconv")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thu-coai/roberta-base-cdconv") model = AutoModelForSequenceClassification.from_pretrained("thu-coai/roberta-base-cdconv") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md a432892
Update README.md 336f727
Update README.md 881e7fc
Update README.md d805257
Update tokenizer_config.json 1f2af6c
Update tokenizer_config.json 56ed030
Update tokenizer_config.json 44329bb
Upload tokenizer 98e0c2f
Delete special_tokens_map.json 8f4d9e6
Delete tokenizer_config.json 335eb32
Delete vocab.txt 25fd1f8
Upload tokenizer bb0a252
Update config.json b30acd4
Update README.md 7088f7e
Create README.md 42176fd
Update config.json 0afed17
Upload 3 files 481fa83
Upload BertForSequenceClassification e7f0323
initial commit acc4723
Chujie Zheng commited on