Instructions to use hchen657Naza/PWM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hchen657Naza/PWM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hchen657Naza/PWM", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download PWM_code/reward_model/robometer/scripts/download_processed_datasets.sh from hchen657Naza/PWM: direct link, hf CLI and curl.
- Browser
- Download file 506 Bytes
-
https://huggingface.co/hchen657Naza/PWM/resolve/main/PWM_code/reward_model/robometer/scripts/download_processed_datasets.sh
- Command line
-
hf download hf://hchen657Naza/PWM/PWM_code/reward_model/robometer/scripts/download_processed_datasets.sh
-
curl -L -o download_processed_datasets.sh https://huggingface.co/hchen657Naza/PWM/resolve/main/PWM_code/reward_model/robometer/scripts/download_processed_datasets.sh
506 Bytes
| # check ROBOMETER_PROCESSED_DATASETS_PATH (or RBM_PROCESSED_DATASETS_PATH) is set | |
| if [ -z "${ROBOMETER_PROCESSED_DATASETS_PATH:-$RBM_PROCESSED_DATASETS_PATH}" ]; then | |
| echo "ROBOMETER_PROCESSED_DATASETS_PATH (or RBM_PROCESSED_DATASETS_PATH) is not set" | |
| exit 1 | |
| fi | |
| # increase the number of open files limit | |
| ulimit -n 65535 | |
| # download processed datasets | |
| hf download jesbu1/processed_datasets --repo-type dataset --local-dir=${ROBOMETER_PROCESSED_DATASETS_PATH:-$RBM_PROCESSED_DATASETS_PATH} |