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Model: ZhipuAI/glm-edge-4b-chat
Source: Original Platform

README.md

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+---
+frameworks:
+- Pytorch
+license: other
+license_name: glm-4
+license_link: LICENSE
+pipeline_tag: text-generation
+tags:
+  - glm
+  - edge
+inference: false
+---
+
+# GLM-Edge-4B-Chat
+
+中文阅读, 点击[这里](README_zh.md)
+
+## Inference with Transformers
+
+### Installation
+
+Install the transformers library from the source code:
+
+```shell
+pip install git+https://github.com/huggingface/transformers.git
+```
+
+### Inference
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+MODEL_PATH = "THUDM/glm-edge-4b-chat"
+
+tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
+model = AutoModelForCausalLM.from_pretrained(MODEL_PATH, device_map="auto")
+
+message = [{"role": "user", "content": "hello!"}]
+
+inputs = tokenizer.apply_chat_template(
+    message,
+    return_tensors="pt",
+    add_generation_prompt=True,
+    return_dict=True,
+).to(model.device)
+
+generate_kwargs = {
+    "input_ids": inputs["input_ids"],
+    "attention_mask": inputs["attention_mask"],
+    "max_new_tokens": 128,
+    "do_sample": False,
+}
+out = model.generate(**generate_kwargs)
+print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
+
+```
+
+## License
+
+The usage of this model’s weights is subject to the terms outlined in the [LICENSE](LICENSE).