https://huggingface.co/models 例如,我想下載“bert‑base‑uncased”,但找不到“下載”鏈接。請幫忙。還是不能下載? 參考解法 方法1: Accepted answer is good, but writing code to download model is not always convenient. It seems git works fine with getting models from huggingface. Here is an e...
model = AutoModelForMaskedLM.from_pretrained("bert-base-uncased") However, I want to execute/install it on the server to train a model. On server, I have limited (no sudo) access but I usecondaenvironments. I tried this on server: git lfs install git clone https://huggingface.co/bert...
Example to download the model https://huggingface.co/xai-org/grok-1 (script code from the same repo) using HuggingFace CLI: git clone https://github.com/xai-org/grok-1.git && cd grok-1 pip install huggingface_hub[hf_transfer] huggingface-cli download xai-org/grok-1 --repo-type model ...
os.environ['HUGGINGFACE_HUB_CACHE'] = os.path.abspath(os.getcwd()) os.environ['TRANSFORMERS_CACHE'] = os.path.abspath(os.getcwd()) pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16) pipe = pipe.to("cuda") prompt = "a photo of...
~/opt/anaconda3/lib/python3.8/site-packages/hanlp/layers/transformers/pt_imports.py in from_pretrained(cls, pretrained_model_name_or_path, use_fast, do_basic_tokenize) 66 if use_fast and not do_basic_tokenize: 67 warnings.warn('`do_basic_tokenize=False` might not work when `use_fast=...
from huggingface_hub import hf_hub_download from ..consts import MODEL_VERSION, MODEL_CONFIGS, AVAILABLE_MODELS @@ -130,13 +133,13 @@ def check_sha1(filename, sha1_hash): def download(url, path=None, overwrite=False, sha1_hash=None): """Download an given URL """Download a given ...
Downloading pretrained weights Except for when you are training from scratch, you will need the pretrained weights from Meta. Original Meta weights Download the model weights following the instructions on the officialLLaMA repository. Once downloaded, you should have a folder like this: ...
neox_model_name_to_use: saved_models_dir\EleutherAI_gpt-neox-20b doing model from_pretrained [e] Downloading: 0%| | 0.00/1.54k [00:00<?, ?B/s] [e] Downloading: 100%|###| 1.54k/1.54k [00:00<00:00, 1.54MB/s] [e] huggingface_hub\file_download.py:123: UserWarning: ...
You can try the unofficial demo on this page or useClipdrop. Alternatively, you can download the model on your local computer and run it yourself. How to download SDXL Turbo You can download SDXL Turbo onHuggingFace, a platform for sharing machine learning models. SDXL Turbo is released und...
I also used 'use_auth_token=True' as an argument for from_pretrained, but that also didn't work. Also, type(trainer) is 'transformers.trainer.Trainer' , while type(model_sm) is transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaForQuestionAnswering python nlp huggingface-transfo...