Instructions to use liujch1998/vera-stage-a-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liujch1998/vera-stage-a-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liujch1998/vera-stage-a-large") model = AutoModel.from_pretrained("liujch1998/vera-stage-a-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from liujch1998/vera-stage-a-large: direct link, hf CLI and curl.
- Browser
- Download file 683 MB
-
https://huggingface.co/liujch1998/vera-stage-a-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://liujch1998/vera-stage-a-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/liujch1998/vera-stage-a-large/resolve/main/pytorch_model.bin
683 MB
- Xet hash:
- a8fedad5cea8eeb19e2a46b3e90b0f8c68b12ad7c5c35549c450259028d3f557
- Size of remote file:
- 683 MB
- SHA256:
- 4db30be9114404f826ec0f1855dd45fc0adbbd1ca75cbc55fed1299a686b8c9b
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