自Transformers 4.0.0 版始,我们有了一个 conda 频道:huggingface。 🤗 Transformers 可以通过 conda 依此安装: conda install -c huggingface transformers 要通过 conda 安装 Flax、PyTorch 或 TensorFlow 其中之一,请参阅它们各自安装页的说明。 模型架构 🤗 Transformers 支持的所有的模型检查点由用户和组织上传,...
pip install git+https://github.com/huggingface/transformers accelerate 这条命令会从指定的GitHub仓库安装transformers库,并同时安装accelerate库。 检查命令是否正确执行,没有错误提示: 运行上述命令后,pip会开始下载并安装所需的库。如果安装过程中没有出现错误提示,说明安装过程顺利。 验证transformers和accelerate库是...
It intakes any open source model from huggingface and is extremely modular and plug in and play. We need help adding general support to all models soon.from pydantic import BaseModel, Field from transformers import AutoModelForCausalLM, AutoTokenizer from swarms import ToolAgent from swarms.tools...
Prompt Tuning:The Power of Scale for Parameter-Efficient Prompt Tuning Getting started fromtransformersimportAutoModelForSeq2SeqLMfrompeftimportget_peft_config, get_peft_model, LoraConfig, TaskType model_name_or_path ="bigscience/mt0-large"tokenizer_name_or_path ="bigscience/mt0-large"peft_config...
huggingface-cli login wandb login Finally, check your system has Git LFS installed so that you can load and push models/datasets to the Hugging Face Hub: git-lfs --version If it isn't installed, run: sudo apt-get install git-lfs
gitclone-b main https://github.com/huggingface/transformers.gitcdtransformers pip install . 在训练参数中设置double_quantization: false,可参考示例。 数据准备 关于数据集文件的格式,请参考data/README_zh.md的内容。你可以使用 HuggingFace / ModelScope / Modelers 上的数据集或加载本地数据集。
CoT Data Generation and SFT Qwen with UnsolthDiscover how to generate CoT data using CAMEL and SFT Qwen with Unsolth, and seamlessly upload your data and model to Huggingface. Contributing to CAMEL For those who'd like to contribute code, we appreciate your interest in contributing to our ope...
Currently, !git lfs install !git clone https://huggingface.co/fudan-generative-ai/hallo pretrained_models fails with: Updated git hooks. Git LFS initialized. Cloning into 'pretrained_models'... remote: Enumerating objects: 61, done. remo...
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× git clone --filter=blob:none --quiethttps://github.com/huggingface/transformers/tmp/pip-req-build-6wmcv8cv did not run successfully. │ exit code: 128 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. ...