Instructions to use zai-org/WebGLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/WebGLM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zai-org/WebGLM", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("zai-org/WebGLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef152d354262dec8176274edb629c5a140e69e9ed7de13e9d1634f16109c8e86
- Size of remote file:
- 2.95 GB
- SHA256:
- c10b0f81158c54bb3c49185cd65dae9d81aa5ae9d94cb92eab6aeca2de9c6a4c
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