metadata

frameworks:
  - Pytorch
license: other
license_name: glm-4
license_link: LICENSE
pipeline_tag: text-generation
tags:
  - glm
  - edge
inference: false

GLM-Edge-1.5B-Chat

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Inference with Transformers

Installation

Install the transformers library from the source code:

pip install git+https://github.com/huggingface/transformers.git

Inference

from transformers import AutoModelForCausalLM, AutoTokenizer

MODEL_PATH = "THUDM/glm-edge-1.5b-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.