Instructions to use SophieTr/PP0_rm_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SophieTr/PP0_rm_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SophieTr/PP0_rm_v1") model = AutoModelForSeq2SeqLM.from_pretrained("SophieTr/PP0_rm_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SophieTr/PP0_rm_v1: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/SophieTr/PP0_rm_v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SophieTr/PP0_rm_v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SophieTr/PP0_rm_v1/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 71ba6e577dd1ad8213b2a16f6c725797c404cd861ef22183e9465e63032474a4
- Size of remote file:
- 2.28 GB
- SHA256:
- 36301bdbc442193f9953c3524649365735e43ee977d45b6582300575b263b861
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.