How to use kelvinleong/KT_Roberta-Base_Class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kelvinleong/KT_Roberta-Base_Class")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kelvinleong/KT_Roberta-Base_Class") model = AutoModelForSequenceClassification.from_pretrained("kelvinleong/KT_Roberta-Base_Class", device_map="auto")
https://huggingface.co/kelvinleong/KT_Roberta-Base_Class/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://kelvinleong/KT_Roberta-Base_Class@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/kelvinleong/KT_Roberta-Base_Class/resolve/refs%2Fpr%2F1/tokenizer.json
