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:
- 1a47ec370d98b1df1e0234af1a0283a5e44a1aea28a3e6c2ba6975814e106719
- Size of remote file:
- 2.95 GB
- SHA256:
- 99648a921bca42a750a88d51793c2ceb2793ac83883abde7cccf359be61ef19a
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