3. 下载需要登录的模型(Gated Model) 请添加 --token hf_*** 参数,其中 hf_*** 是access token,请在 Hugging Face官网这里 获取。示例: huggingface-cli download --token hf_*** --resume-download --local-dir-use-symlinks False meta-llama/Llama-2-7b-hf --local-dir Llama-2-7b-hf hf_transfe...
方法2：import transformers as ppb model = ppb.BertForSequenceClassification.from_pretrained('bert-bas...
通过huggingface-cli下载大模型 huggingface-cli download TheBloke/Llama-2-7B-Chat-GGUF llama-2-7b-chat.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False 下载完毕后,准备代码,例如代码文件为main.py fromllama_cppimportLlama llm = Llama(model_path="llama-2-7b-chat.Q4_K_M.gguf", ...
Hugging Face also providestransformers, a Python library that streamlines running a LLM locally. The following example uses the library to run an older GPT-2microsoft/DialoGPT-mediummodel. On the first run, the Transformers will download the model, and you can have five interactions with it. Th...
System Info Docker Image: docker pull ghcr.io/huggingface/text-generation-inference:sha-3c02262 While running docker run command, I use --model-id /data/<PATH-TO-FOLDER> as suggested here I store the model in the /data (i.e. $volume) dir...
或者使用来自ModelScope的模型,需要设置环境变量: 代码语言:javascript 复制 exportVLLM_USE_MODELSCOPE=True 另外一种是加载本地模型并运行 代码语言:javascript 复制 vllm serve/home/ly/qwen2.5/Qwen2.5-32B-Instruct/--tensor-parallel-size8--dtype auto--api-key123--gpu-memory-utilization0.95--max-model-...
- local: installation title: Installation - local: clis title: Get started with Command Line Interfaces (CLIs) - local: how_to_train title: PPO Training FAQ - local: use_model Expand Down 87 changes: 87 additions & 0 deletions 87 docs/source/clis.mdx Show comments View file Edit file...
tokenizer=AutoTokenizer.from_pretrained("google/pegasus-newsroom")model=AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-newsroom") 复制代码 2.3 遇到问题 按理说应该可以顺利执行,但实际上不出意外地遇到了意外。在执行时还是报错提示无法加载模型,信息如下: ...
值得注意的是,有个--local-dir-use-symlinks False参数可选,因为huggingface的工具链默认会使用符号链接来存储下载的文件,导致--local-dir指定的目录中都是一些“链接文件”,真实模型则存储在~/.cache/huggingface下,如果不喜欢这个可以用--local-dir-use-symlinks False取消这个逻辑。
pegasus-newsroom and are newly initialized: ['model.encoder.embed_positions.weight', 'model.decoder.embed_positions.weight']You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.>>> model = model.eval() 到这里...