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:
- 11037d88a4db052a61862fe08632b1e37e12c2fd533c2a1e927ea06334e597b9
- Size of remote file:
- 2.95 GB
- SHA256:
- c59c8a508e02e30becc4484613223414d06951161d2e5251dd22ab7d1e287832
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