Instructions to use RAYZ/play2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RAYZ/play2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RAYZ/play2") model = AutoModelForSeq2SeqLM.from_pretrained("RAYZ/play2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RAYZ/play2: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/RAYZ/play2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://RAYZ/play2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RAYZ/play2/resolve/refs%2Fpr%2F1/pytorch_model.bin
990 MB
- Xet hash:
- 6b0ae1762640b2e306c1a5ef3ddda1c2420fb7460d772dbb3b0b46e55e68a73f
- Size of remote file:
- 990 MB
- SHA256:
- 744e7b900efe1de2265975df1216b83588b298b743f0fa1d3940aeb35eabe095
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