Instructions to use liujch1998/vera-stage-a-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liujch1998/vera-stage-a-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liujch1998/vera-stage-a-small") model = AutoModel.from_pretrained("liujch1998/vera-stage-a-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b57384fa088915cadceae54bf790e5940c1822eeb118ac2416be440593b0a6bd
- Size of remote file:
- 70.7 MB
- SHA256:
- 7cbd6564250105325b9a1df058ca297f0213c6e55cef6c9e30bfaad792f03e07
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