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 pytorch_model.bin from summervent/speller-example_: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/summervent/speller-example_/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://summervent/speller-example_/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/summervent/speller-example_/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- a15c727808312b3b806841088df2b26089dab5e324781b00ced86a57ebe51ec8
- Size of remote file:
- 892 MB
- SHA256:
- 503d6230c99d75038894fdaf986a3fc965ea70759f9c785970870991486267e3
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