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