Instructions to use relbert/relbert-roberta-base-iloob-semeval2012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-base-iloob-semeval2012 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-base-iloob-semeval2012")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-base-iloob-semeval2012") model = AutoModel.from_pretrained("relbert/relbert-roberta-base-iloob-semeval2012", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c44ea3c443f80db7c081b54a443e29f8ed847fa1317a07d8e5abf0adf3b11f48
- Size of remote file:
- 499 MB
- SHA256:
- febb2847e78f065356ca1aec21dd85d1727daa952f647f668459a32e87f8ab02
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