Transformers
PyTorch
Safetensors
t5
text2text-generation
grammar
spelling
punctuation
error-correction
text-generation-inference
Instructions to use pszemraj/t5-v1_1-base-ft-jflAUG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/t5-v1_1-base-ft-jflAUG with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/t5-v1_1-base-ft-jflAUG") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/t5-v1_1-base-ft-jflAUG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c11b9e99412ac6c4bbb42b1e86f4281b44099665f812892bf0aada4b9a819029
- Size of remote file:
- 20.9 kB
- SHA256:
- 6089533235cdaac07e033c2a52cdb7abd944796a3b2e4a8ce7a16521d9347257
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