Instructions to use mediabiasgroup/da-roberta-babe-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mediabiasgroup/da-roberta-babe-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mediabiasgroup/da-roberta-babe-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mediabiasgroup/da-roberta-babe-ft") model = AutoModelForSequenceClassification.from_pretrained("mediabiasgroup/da-roberta-babe-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3034de8ff809d687ad76b691f535711f96b9b43a493aad6e049a20c41787f84d
- Size of remote file:
- 499 MB
- SHA256:
- d8aef5eeacfcbc43a5d19e1858a6153b2d3f2185460c898f5ef5906420a8763f
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