Instructions to use TransWiC/bert-large-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransWiC/bert-large-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransWiC/bert-large-B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransWiC/bert-large-B") model = AutoModelForSequenceClassification.from_pretrained("TransWiC/bert-large-B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a27e7da48979fe974f4a1593e954b526b30b7266be76456b715b64946a407320
- Size of remote file:
- 2.81 kB
- SHA256:
- f136debf9ebb799aba0d72e9cc5026a27f32f21c2c37c8a7dfe9600c9deddf3c
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