Instructions to use TransWiC/bert-large-BT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransWiC/bert-large-BT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransWiC/bert-large-BT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransWiC/bert-large-BT") model = AutoModelForSequenceClassification.from_pretrained("TransWiC/bert-large-BT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76d6ee689582d7f9ea98bd9ed0fccfa9b1a5fb729d350185fce3c5264250dc5e
- Size of remote file:
- 1.33 GB
- SHA256:
- 6a50e054344c3c8ea07ac14a6667378c303fd7e71f0ab511e4e4970afde1f4b9
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