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:
- d3cf00b874b71d0f1f4771fb3237a1d919dac732377a7cfe71c2c9100809604c
- Size of remote file:
- 2.95 GB
- SHA256:
- 1e0e7f81d689324fb7c01a63e1cb29e22bbc1c66c91618c02a2161f0ed472a83
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