How to use sumanthbhargava/t5-base-encoding-correction-100k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sumanthbhargava/t5-base-encoding-correction-100k") model = AutoModelForSeq2SeqLM.from_pretrained("sumanthbhargava/t5-base-encoding-correction-100k", device_map="auto")
https://huggingface.co/sumanthbhargava/t5-base-encoding-correction-100k/resolve/main/tokenizer.json
hf download hf://sumanthbhargava/t5-base-encoding-correction-100k/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/sumanthbhargava/t5-base-encoding-correction-100k/resolve/main/tokenizer.json
