Instructions to use teppei727/bert-relation14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teppei727/bert-relation14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teppei727/bert-relation14")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teppei727/bert-relation14") model = AutoModelForSequenceClassification.from_pretrained("teppei727/bert-relation14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3acb148ea49c498efa8717bb610aebbd7d6af66fc574cf395341a7930cc1e049
- Size of remote file:
- 438 MB
- SHA256:
- 155e8e57319b6705d17ba4cea0c0a05e7d219f15578aad1cc63774f8522fb229
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