Instructions to use Earth1221/Spelling_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Earth1221/Spelling_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Earth1221/Spelling_test") model = AutoModelForSeq2SeqLM.from_pretrained("Earth1221/Spelling_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Earth1221/Spelling_test: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Earth1221/Spelling_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Earth1221/Spelling_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Earth1221/Spelling_test/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 3d86c1f172554c0fd377605902b5201794512777758b146cc44a18d701722557
- Size of remote file:
- 558 MB
- SHA256:
- 7180fdfdb6ff3d1be06eeed26cba429da9b932e23a6d23880e4fd06643292cc8
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