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
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.87e616e
-
Upload tokenizer
8dccce5 -
Training in progress, step 5000
953f1e6 -
Training in progress, step 5000
59eb16a -
Upload tokenizer
a7f6d01 -
Training in progress, step 10000
370a4d7 -
Training in progress, step 5000
90f4634 -
Training in progress, step 5000
782234f -
Upload tokenizer
266465a -
initial commit
9042685