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:
- ee63aac39f090fbe2b424c2d55126b51dfbd3a32c2c2989da1cfc95e531eb1ca
- Size of remote file:
- 1.34 GB
- SHA256:
- 0e088b2075d15284bd90d56cbcddd36b30251c7de0fc2745d9e15b953d6537f2
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