Instructions to use vania2911/augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/augmented with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/augmented") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vania2911/augmented: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/vania2911/augmented/resolve/main/training_args.bin
- Command line
-
hf download hf://vania2911/augmented/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vania2911/augmented/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 5b732dc077ed4328be390f0e9694abce139958a5611abb5b11f366b43f38f441
- Size of remote file:
- 5.5 kB
- SHA256:
- 2592c78a8a3f7a390fa9ed63b9c222566accd78a2690b3f505fbe79c0443b683
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