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 training_args.bin from mptrigo/run1: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/mptrigo/run1/resolve/main/training_args.bin
- Command line
-
hf download hf://mptrigo/run1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mptrigo/run1/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- f14733dff5ee783c02546b79ca36895a37416a5c351e23b9305d18944455fda1
- Size of remote file:
- 2.74 kB
- SHA256:
- 138cf9a6bf58ea4ea04e1e796016b7634957ff2c5f25b7805310b795179d5435
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