Tool to download models from Huggingface Hub and convert them to GGML/GGUF for llama.cpp - akx/ggify
The situation: I've downloaded the huge models on my server. And hope vllm could load the model. the structure of the model dir: $ ls /data/vllm.model/01ai/Yi-34B-200K/ LICENSE generation_config.json pytorch_model-00004-of-00007.bin tokenizer.json README.md md5 pytorch_model-00005-...
-Runthe script from the command prompt and provide the URL of the file you wanttodownload from Hugging Face models as an argument. -without target directory given it will downloadtothe current scripts dir. Forexample: ```batch mydownloader.bat https://huggingface.co/h94/IP-Adapter/resolve/ma...
LoRas, or Inpaint models for image generation on CivitAI. Use alternative PyTorch LLM models from Huggingface that support Transformers 4.39. Download these models to their corresponding folders and switch to manual mode to override AI Playground defaults. ...
If you use local disk but still need to persist the data, you can then copy the dataset from local disk to a Unity Catalog volume (setpersistent_pathto{uc_volume_path}/hf_imdb_cache). 23 24 True 25 /databricks/python_shell/dbruntime/huggingface_patches/datasets.py:45: UserWarning: The...
from datasets import load_dataset LOCAL_DISK_CACHE_DIR = f'{LOCAL_DISK_MOUNT}/hf_cache/' # Set cache_dir to be in elastic disk dataset = load_dataset("imdb", cache_dir=LOCAL_DISK_CACHE_DIR) /databricks/python_shell/dbruntime/huggingface_patches/datasets.py:45: UserWarning: The cache_di...
def get_download_links_from_huggingface(self, model, branch, text_only=False, specific_file=None): page = f"/api/models/{model}/tree/{branch}" cursor = b"" links = [] sha256 = [] classifications = [] has_pytorch = False has_pt = False has_gguf = False has_safe...
为了帮助你使用huggingface_hub库中的snapshot_download函数下载所需的模型快照,并处理下载后的文件,我将按照你的提示分点进行回答,并包含相关的代码片段。 1. 确认huggingface_hub库已安装 首先,确保你已经安装了huggingface_hub库。如果尚未安装,可以使用以下命令进行安装: bash pip install huggingface_hub 2. 导入...
Note: daulet/tokenizers also provides a simple downloader, so go-huggingface is not strictly necessary -- if you don't want the extra dependency and only need the tokenizer, you don't need to use it. go-huggingface helps by allowing also downloading other files (models, datasets), and a...
models.Whisper( model_path, device=device, 45 changes: 45 additions & 0 deletions 45 faster_whisper/utils.py Original file line numberDiff line numberDiff line change @@ -1,3 +1,42 @@ from typing import Optional import huggingface_hub from tqdm.auto import tqdm def download_model( size...