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:
- ec74d69e1477180bd94da8f73c354739c43d19753a3cb0b77b9e9a41bcea7b40
- Size of remote file:
- 2.95 GB
- SHA256:
- d70905a79f4033b20a3e818c58d2bc492a64eb21c4240d9b9f11dcfd18afa24c
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