Text Generation
KerasFormers
Keras
PyTorch
JAX
TensorFlow
English
Chinese
glm
glm4_moe_lite
glm-4.7
mixture-of-experts
Instructions to use zeromodels/glm-4.7-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/glm-4.7-flash with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use zeromodels/glm-4.7-flash with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/glm-4.7-flash") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63f830cbfd05400f0ef4e8077fb4826a6d8e5e7b056c9f31d1798c474ff5fc40
- Size of remote file:
- 5.09 GB
- SHA256:
- a60ddc5e24cbe3abc6f9f55c00a8e987d7ba9b690533587c43939187b9e69b49
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.