Instructions to use vania2911/5_6kmslsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/5_6kmslsamples with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/5_6kmslsamples") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/5_6kmslsamples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vania2911/5_6kmslsamples: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/vania2911/5_6kmslsamples/resolve/main/training_args.bin
- Command line
-
hf download hf://vania2911/5_6kmslsamples/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vania2911/5_6kmslsamples/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- e366f2b6c004efb28fbcc1cf80d91e2e2e0fdfc90009e2e814cdddb59589e48d
- Size of remote file:
- 5.56 kB
- SHA256:
- 6af6890d658488c8912ffe41110bca51831186ad5a07bdf7902243965aba37eb
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