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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d65f45795e81eb7e565cb8639976f146fe98d39a931acc91b9bba449b8806f6
- Size of remote file:
- 409 MB
- SHA256:
- c679bdbffcd9c90ed39e822ec943c1336bb393f683e5eeee1702f215d5c29d5e
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