60 lines
1.2 KiB
Markdown
60 lines
1.2 KiB
Markdown
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---
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frameworks:
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- Pytorch
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license: other
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license_name: glm-4
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license_link: LICENSE
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pipeline_tag: text-generation
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tags:
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- glm
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- edge
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inference: false
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---
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# GLM-Edge-1.5B-Chat
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中文阅读, 点击[这里](README_zh.md)
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## Inference with Transformers
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### Installation
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Install the transformers library from the source code:
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```shell
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pip install git+https://github.com/huggingface/transformers.git
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```
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### Inference
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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MODEL_PATH = "THUDM/glm-edge-1.5b-chat"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
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model = AutoModelForCausalLM.from_pretrained(MODEL_PATH, device_map="auto")
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message = [{"role": "user", "content": "hello!"}]
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inputs = tokenizer.apply_chat_template(
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message,
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return_tensors="pt",
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add_generation_prompt=True,
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return_dict=True,
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).to(model.device)
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generate_kwargs = {
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"input_ids": inputs["input_ids"],
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"attention_mask": inputs["attention_mask"],
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"max_new_tokens": 128,
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"do_sample": False,
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}
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out = model.generate(**generate_kwargs)
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print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
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```
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## License
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The usage of this model’s weights is subject to the terms outlined in the [LICENSE](LICENSE).
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