Instructions to use teppei727/bert-large-relation14-upper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teppei727/bert-large-relation14-upper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teppei727/bert-large-relation14-upper")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teppei727/bert-large-relation14-upper") model = AutoModelForSequenceClassification.from_pretrained("teppei727/bert-large-relation14-upper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d44cca6079c20346a368ae56844708dcb5839eaa77b752ee9bb69410d8dd54c3
- Size of remote file:
- 1.33 GB
- SHA256:
- 9357f10ca331ffb9f2db6a823846e21ffdefe3ab8bdaf15220c4fbff2179b989
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