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:
- 29dc3d8363c51858cdd478dd171c0d62c19c064bf1f7fb72d2ae6f54dbf6db79
- Size of remote file:
- 4.8 GB
- SHA256:
- 04bb62ab955f41131fbb8450699bf01298220860c81185fb0f20eeeccd9daeac
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