Except the model I'm using is a tweaked version of the base model shown above. I'm trying to process a large number of documents and at the rate it's going at it would take on the order of weeks. Is there anyway to set the pipeline to use multiple gpus? So I could use something...
You can also use the TRL CLI to chat with the model from the terminal: pip install trl trl chat --model_name_or_path HuggingFaceTB/SmolLM-135M-Instruct --device cpu 7 总结 SmolLM系列模型通过实验证明了,只要训练充分、数据质量足够好,小模型也可以取得很好的性能。本文在此用 SmolLM 提供了一...
return self.embed_documents([text])[0] While debugging, I tried to use split_text() and split_documents() instead of create_documents() and it also didn't work, all of them give me the same output: this error, and my text still containing all of the "\n". I don't k...
Q: How did everyone else train the model with the example code I see in blogpost but when I run it on my 16GB GPU, it just fails? A: Most probably, they are using A100 GPUs with 40GB RAM when they use Google colab to demonstrate the code. For more hardware comparison (a little o...
🤗 Accelerate supports training on single/multiple GPUs using DeepSpeed. To use it, you don't need to change anything in your training code; you can set everything using justaccelerate config. However, if you desire to tweak your DeepSpeed related args from your Python script, we provide yo...
Note:To use GPUs, you need to install theNVIDIA Container Toolkit. We also recommend using NVIDIA drivers with CUDA version 11.8 or higher. For running the Docker container on a machine with no GPUs or CUDA support, it is enough to remove the--gpus allflag and add--disable-custom-kernels...
fix problem of 'accelerator.is_main_process' to run in mutiple GPUs by @jiaqiw09 in #5340 [docs] Create a mask for inpainting by @stevhliu in #5322 Adding PyTorch XLA support for sdxl inference by @ssusie in #5273 [Examples] use loralinear instead of depecrecated lora attn procs....
PEFT models work with 🤗 Accelerate out of the box. Use 🤗 Accelerate for Distributed training on various hardware such as GPUs, Apple Silicon devices, etc during training. Use 🤗 Accelerate for inferencing on consumer hardware with small resources. ...
创建一个finetune.sh bash文件,在里面执行一个python脚本
use-symlinks False To download from a different branch, add the `--revision` parameter: mkdir Mixtral-8x7B-v0.1-GPTQ huggingface-cli download TheBloke/Mixtral-8x7B-v0.1-GPTQ --revision gptq-4bit-128g-actorder_True --local-dir Mixtral-8x7B-v0.1-GPTQ --local-dir-use-symlinks False ...