Instructions to use RAYZ/play1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RAYZ/play1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RAYZ/play1") model = AutoModelForSeq2SeqLM.from_pretrained("RAYZ/play1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RAYZ/play1: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/RAYZ/play1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RAYZ/play1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RAYZ/play1/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- d2c20f829fbd8f91d889d89d0f97933cd0e87f385368d29ea35b4ac67ccbec79
- Size of remote file:
- 990 MB
- SHA256:
- 1fe381a67160d49c6516d503c387a48c87fff4a76400aecb83a33b8da3e7d51a
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