How to use vxbrandon/t5-base_cola_dense with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vxbrandon/t5-base_cola_dense")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vxbrandon/t5-base_cola_dense") model = AutoModelForSequenceClassification.from_pretrained("vxbrandon/t5-base_cola_dense", device_map="auto")
https://huggingface.co/vxbrandon/t5-base_cola_dense/resolve/main/tokenizer.json
hf download hf://vxbrandon/t5-base_cola_dense/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/vxbrandon/t5-base_cola_dense/resolve/main/tokenizer.json
