Instructions to use summervent/speller-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summervent/speller-example with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("summervent/speller-example") model = AutoModelForSeq2SeqLM.from_pretrained("summervent/speller-example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from summervent/speller-example: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/summervent/speller-example/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://summervent/speller-example@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/summervent/speller-example/resolve/refs%2Fpr%2F1/training_args.bin
3.58 kB
- Xet hash:
- 41801bbeccf5e5d7cc786838d5bb95059b783d9a8b1e6f05cb8ef3c915f7eb8c
- Size of remote file:
- 3.58 kB
- SHA256:
- 2869fef0d6cd0e096d554da2e050863a9c56428d6ca8461e63125e3e7a5ccb11
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