For example, I want to download bert-base-uncased on https://huggingface.co/models, but can't find a 'Download' link. Or is it not downloadable? huggingface-transformers transformer-model Share Improve this question Follow edited Apr 4 at 1:46 Franck Dernoncourt 82.5k7676 gold badges...
Datasets库提供了.shuffle()和select()函数来打乱和选择数据,如下所示(随机采样1000个样本)。 drug_sample=drug_dataset["train"].shuffle(seed=42).select(range(1000))# Peek at the first few examplesdrug_sample[:3]{'Unnamed: 0':[87571,178045,80482],'drugName':['Naproxen','Duloxetine','Mobic']...
Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 1,611 Commits .github contrib docs i18n src/huggingface_hub tests utils .gitignore .pre-commit-config.yaml CODE_OF_CONDUCT.md CONTRIBUTING.md ...
Here is a screenshot of the whole thing: Not sure how to fix this. I tried upgrading pip and running this command as an answer to a similar post said to:pip3 install setuptools_rust docker-compose, but the same error keeps showing up. Don't understand the issue and dont know how to...
Apple Silicon users will need to run a follow-up command to make use the nightly PyTorch (2.4) build for bfloat16 support: pip3 install --pre torch torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu Usage Tip You can directly try it out in an interactive demohere!
from huggingface_hub import snapshot_downloadfolder = snapshot_download("HuggingFaceFW/fineweb",repo_type="dataset",local_dir="./fineweb/",allow_patterns="data/CC-MAIN-2023-50/*") 为了加快下载速度,需要确保安装 pip install huggingface_hub[hf_transfer] 并设置环境变量 HF_HUB_ENABLE_HF_TRANSFER...
The second line of code downloads and caches the pretrained model used by the pipeline, while the third evaluates it on the given text. Here, the answer is "positive" with a confidence of 99.97%. Many tasks have a pre-trained pipeline ready to go, in NLP but also in computer vision ...
from huggingface_hub import snapshot_downloadfolder = snapshot_download ("HuggingFaceFW/fineweb",repo_type="dataset",local_dir="./fineweb/",allow_patterns="data/CC-MAIN-2023-50/*") 1. 为了加快下载速度,需要确保安装 pip install huggingface_hub[hf_transfer] 并设置环境变量 HF_HUB_ENABLE_HF_...
(df_raw, df_label, on="label", how="left") # 模型下载 download_model_dir = "model/bert_class_model" tokenizer = BertTokenizer.from_pretrained(model_path, cache_dir=download_model_dir) # train dataset predict_train_encoded = encode_examples(df_raw).batch(batch_size) # 模型加载 load_...
ImageNet was released for non-commercial research purposes only (https://image-net.org/download). It's not clear what the implications of that are for the use of pretrained weights from that dataset. Any models I have trained with ImageNet are done for research purposes and one should ...