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:
- 76880dc5a60a5d32626eaf9669817824b3863c551e059f634cdbea45b28fb9bc
- Size of remote file:
- 2.95 GB
- SHA256:
- 8abc6bc0c18f5035a96ae013974d9e7651490e90ff27e494c98f13ffb6e6863c
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