Instructions to use mptrigo/run1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mptrigo/run1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mptrigo/run1") model = AutoModelForSeq2SeqLM.from_pretrained("mptrigo/run1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mptrigo/run1: direct link, hf CLI and curl.
- Browser
- Download file 245 MB
-
https://huggingface.co/mptrigo/run1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mptrigo/run1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mptrigo/run1/resolve/main/pytorch_model.bin
245 MB
- Xet hash:
- f04b41d56a6077296e4c6f5abcf3276116e48e6e12559d6165dbef7ac43930d1
- Size of remote file:
- 245 MB
- SHA256:
- fc97b326c88fa2058a82da19947445f2e11e4351d7e232c204c4cf933ee8b5e1
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