Instructions to use mjoo/training-practice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjoo/training-practice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mjoo/training-practice") model = AutoModelForSeq2SeqLM.from_pretrained("mjoo/training-practice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mjoo/training-practice: direct link, hf CLI and curl.
- Browser
- Download file 350 MB
-
https://huggingface.co/mjoo/training-practice/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mjoo/training-practice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mjoo/training-practice/resolve/main/pytorch_model.bin
350 MB
- Xet hash:
- ee3905f4ee57138ef202606ce4589b6869bb67113dfd8715f5bfb241426f2d87
- Size of remote file:
- 350 MB
- SHA256:
- 91ac1ea8349a14f673afa0d90f2ddff896edb701bddae7c6bb2e9a652136fd5d
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