🤗 Datasets has many additional interesting features: Thrive on large datasets: 🤗 Datasets naturally frees the user from RAM memory limitation, all datasets are memory-mapped using an efficient zero-serialization cost backend (Apache Arrow). ...
from datasets import load_dataset ds = load_dataset("Raspberry-ai/monse-v1") Dependencies: Package Version --- --- absl-py 2.0.0 accelerate 0.23.0 aiohttp 3.8.4 aiosignal 1.3.1 antlr4-python3-runtime 4.9.3 anyio 4.0.0 appdirs 1.4.4 argon2-cffi 23.1.0 argon2-cffi-bindings 21.2.0...
StableLM 3B 4E1T is a decoder-only base language model pre-trained on 1 trillion tokens of diverse English and code datasets for four epochs. The model architecture is transformer-based with partial Rotary Position Embeddings, SwiGLU activation, LayerNorm, etc. The team also provides StableLM Z...
url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/tarsila_do_amaral.png" image = load_image(url) # run image variation image = pipe(image).images[0] For more information you can have a look at"stabilityai/stable-diffusion-2-1-unclip" h...
For example: from datasets import load_dataset test_dataset = load_dataset("json", data_files="test.json&... Campbell Hutcheson 829 answered Apr 27, 2022 at 0:09 23 votes Accepted Why does llama-index still require an OpenAI key when using Hugging Face local embedding model? Turns out...
datasets 2.13.0 diffusers 0.21.4 dill 0.3.6 docker-pycreds 0.4.0 einops 0.7.0 exceptiongroup 1.1.1 fastapi 0.99.0 ffmpy 0.3.0 filelock 3.12.2 flash-attn 2.1.1 fonttools 4.43.0 frozenlist 1.3.3 fschat 0.2.16 fsspec 2023.6.0
登陆后复制pip install datasets 如果用conda的话,用以下命令安装 登陆后复制1 登陆后复制conda install -c huggingface -c conda-forge datasets 3.2 下载离线数据集 我们访问huggingface的数据集页面,进行下载 数据集是参考Alpaca方法基于GPT4得到的self-instruct数据,约5万条 ...
These implementations have been tested on several datasets (see the example scripts) and should match the performances of the original implementations (e.g. ~93 F1 on SQuAD for BERT Whole-Word-Masking, ~88 F1 on RocStories for OpenAI GPT, ~18.3 perplexity on WikiText 103 for Transformer-XL,...
It is composed of the union of the following 5 filtered datasets of textual documents: BookCorpus, which consists of more than 10K unpublished books, CC-Stories, which contains a subset of CommonCrawl data filtered to match the story-like style of Winograd schemas, The Pile, from which * ...
🤗 Datasets has many additional interesting features: Thrive on large datasets: 🤗 Datasets naturally frees the user from RAM memory limitation, all datasets are memory-mapped using an efficient zero-serialization cost backend (Apache Arrow). ...