Instructions to use JerryWu/GLM6BTalk-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JerryWu/GLM6BTalk-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JerryWu/GLM6BTalk-model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JerryWu/GLM6BTalk-model", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6921e5a6d8db8336a8f84a23d9e7016ff5d2bc8080934b91c25c20d0931b23fe
- Size of remote file:
- 4.06 GB
- SHA256:
- 7a2ead8dd73140bf69077547bd0274172d2f961c2c905d795c22ba8368a648ee
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