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:
- 9b0f851f98ae5ff14f27c3c9d3363877f1e4e8260b31fcd72e3068dfc58c251f
- Size of remote file:
- 2.95 GB
- SHA256:
- bc9e4bdf1bb3c9710e23da350188c8c3ad913b5511f79e8959d47566e300f3ec
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