Instructions to use xeventminer/bert-large-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xeventminer/bert-large-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xeventminer/bert-large-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xeventminer/bert-large-en") model = AutoModelForSequenceClassification.from_pretrained("xeventminer/bert-large-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34d06a0fefaf37ad0192ad2a97b3a077fb13a726a3961940768a814f98536d86
- Size of remote file:
- 1.33 GB
- SHA256:
- eb2f2bb2b5406d0118f00d69c757fc2eb07fe27d3d1af6359bcf38ee48a1594a
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