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:
- d8d57c7d89dab82b486bb77c924b6c40f33b8a90f859c1a8bf76aa5566c4428b
- Size of remote file:
- 2.81 kB
- SHA256:
- 4f9ce1a02f1772aaa5d51f27abca4d633913c0e1e2b0ae0ffb09c09f554c5e0d
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