Describe the bug Hi there, I am not sure if this is a bug. I am just trying to search the hub using these commands: from huggingface_hub import HfApi api = HfApi() datasets = api.list_datasets(sort="downloads") print(len(datasets)) I am ...
修改代码以适配huggingface_hub库的最新版本: 一旦你找到了替代函数或方法,就需要修改你的代码以适应新的库版本。例如,如果你的代码中使用了cached_download,你可能需要将其替换为hf_api.download_file或其他适当的函数。以下是一个假设的示例,展示如何使用替代函数: python from huggingface_hub import HfApi api = ...
from pathlib import Pathfrom datasets import Dataset, Image, Sequence from huggingface_hub import HfApi from pydantic import BaseModelfrom labbench import HF_DATASET_REPO, Eval, EvalSet, EvaluatorREPO_ROOT = Path(__file__).parent.parentdef...
Deploy HuggingFace hub models using Python SDK Setup the Python SDK. Find the model to deploy Browse the model catalog in Azure Machine Learning studio and find the model you want to deploy. Copy the model name you want to deploy. Import the required libraries. The models shown in the catal...
⚠️ 提示 ⚠️:确保通过运行huggingface-cli login登录到Hugging Face Hub。这将允许您跳过在本指南后续命令中传递令牌。 ♀️ 快速开始 ♀️ 步骤1:实现我们的聊天机器人 让我们使用ChatInterface构建一个非常简单的聊天机器人,它只是重复用户的消息。将以下代码写入app.py ...
Deploy HuggingFace hub models using Python SDK Setup the Python SDK. Find the model to deploy Browse the model catalog in Azure Machine Learning studio and find the model you want to deploy. Copy the model name you want to deploy. Import the required libraries. The models shown in the catal...
() or delete the AppWrapper hfgputest) and then stop and optionally delete the huggingface workspace; do not delete the huggingface project. Since we want to use the GPU for the notebook, we now create a new image with theonnxruntime-gpu library(instead of the onnxruntime) and push ...
importtorchfromprevious_chaptersimportGPTModelGPT_CONFIG_124M={"vocab_size":50257,# Vocabulary size"context_length":256,# Shortened context length (orig: 1024)"emb_dim":768,# Embedding dimension"n_heads":12,# Number of attention heads"n_layers":12,# Number of layers"drop_rate":0.1,# Drop...
from trl import SFTTrainer 我们继续分析导入 torch是我们很熟悉的深度学习库,这里我们不需要torch的那些低级功能,但是它是transformers和trl的依赖,在这里我们需要使用torch来获取dtypes(数据类型),比如torch.Float16以及检查GPU的工具函数。 load_dataset所做的就是加载数据集,但是它从HuggingFace数据集中心下载到本地。
mock import Mock, patch import pytest from huggingface_hub import HfApi, hf_hub_download from huggingface_hub.hub_mixin import PyTorchModelHubMixin from huggingface_hub.utils import is_torch_available, logging from huggingface_hub.utils import SoftTemporaryDirectory, is_torch_available from .testing_...