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) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19f9e7c4b12e519a156d676603db62efba1c59ffd76c59e46bf88932d986a2b
- Size of remote file:
- 2.95 GB
- SHA256:
- c1e433099f3a84ef21c4de3b4e5e3d6c0474509acc443e3dd51b8fd7ae34583e
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