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