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:
- 61028fd199d172702527635a366c2739cbeb81a53cfbbde06fa06c4d3003fea3
- Size of remote file:
- 1.33 GB
- SHA256:
- f1b1787704f0281030483854d40332760441d392fd00a54024a89d6075c2c5dc
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