Instructions to use zai-org/chatglm-6b-int4-qe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/chatglm-6b-int4-qe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zai-org/chatglm-6b-int4-qe", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zai-org/chatglm-6b-int4-qe", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43f33eaad2cf87b0c80e2e5bc0ac110a49445bc20260af5028ae670ad06fdbe8
- Size of remote file:
- 3.36 GB
- SHA256:
- 80d4ec14a9cc30ec566a54463bfdc6ce5dd5a5b63c6d51f5186cf44bf8e2eb4e
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