Instructions to use liujch1998/vera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liujch1998/vera with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liujch1998/vera")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liujch1998/vera") model = AutoModel.from_pretrained("liujch1998/vera", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b3c451f659d3d882f2df577abb35e2739c9f724eaf09fac1ff89b9f922d42e4
- Size of remote file:
- 4.73 GB
- SHA256:
- 15155416b2bbeaf9d9c8a787c7afbc5f9b941d3cad6f5bdf34196e3d7b3aedbc
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