Instructions to use philschmid/pt-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/pt-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("philschmid/pt-test") model = AutoModelForSeq2SeqLM.from_pretrained("philschmid/pt-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from philschmid/pt-test: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/philschmid/pt-test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://philschmid/pt-test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/philschmid/pt-test/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- d10e8907dd94c00b87c92f75463048c66bbfc6ba7221ed7b71a824ef4fbeb77b
- Size of remote file:
- 990 MB
- SHA256:
- 68d76c6666af4927e8f8ea7cbcfb4e9bc6338f3dd813d8039521cd00d73cb944
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