Instructions to use ACCORD-NLP/re-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/re-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ACCORD-NLP/re-bert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/re-bert-large") model = AutoModelForSequenceClassification.from_pretrained("ACCORD-NLP/re-bert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43d5ce7f69d6feb96c1e54d727a6e8e5308a64fd4560ef01858f438283976465
- Size of remote file:
- 2.88 kB
- SHA256:
- a1b324359608ddeb36c07ae745145b765d655aa0878ff21ff20ef55da360ccc3
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