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:
- 4deb07a860608b25c4279e49ea891839fe01e119d35d553a08e72bb0e90ccda8
- Size of remote file:
- 2.95 GB
- SHA256:
- da51c17339cd11116486aff17640e209978f41e2566c68c7c334f39f1699ca10
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