How to use sumanthbhargava/mt5-base-encoding-correction-100k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sumanthbhargava/mt5-base-encoding-correction-100k") model = AutoModelForSeq2SeqLM.from_pretrained("sumanthbhargava/mt5-base-encoding-correction-100k", device_map="auto")
https://huggingface.co/sumanthbhargava/mt5-base-encoding-correction-100k/resolve/main/test_set.jsonl
hf download hf://sumanthbhargava/mt5-base-encoding-correction-100k/test_set.jsonl
curl -L -o test_set.jsonl https://huggingface.co/sumanthbhargava/mt5-base-encoding-correction-100k/resolve/main/test_set.jsonl
