Instructions to use TransWiC/bert-large-E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransWiC/bert-large-E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransWiC/bert-large-E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransWiC/bert-large-E") model = AutoModelForSequenceClassification.from_pretrained("TransWiC/bert-large-E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04b4d6f2ad2ff30b9388b2101c58de5c844f67dd053ff8a262aff84c5cfb149f
- Size of remote file:
- 2.81 kB
- SHA256:
- 5a2ccc78bbb30cca0e5afa2cb71ace0b506b677bcd1fd0312c8d4878b2526102
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