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/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://summervent/speller-example@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/summervent/speller-example/resolve/refs%2Fpr%2F1/pytorch_model.bin
892 MB
- Xet hash:
- b6d4b8e7d6d025dc3985a092bc1b291a0a4152a4b616d4456146cadc34d12c2f
- Size of remote file:
- 892 MB
- SHA256:
- 2facfe78b86ed68d0cd6e299e9274498e06d09b135d3cb7525a77b8584678213
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