How to use bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp") model = AutoModel.from_pretrained("bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp", device_map="auto")
https://huggingface.co/bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp/resolve/main/tokenizer.json
hf download hf://bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp/resolve/main/tokenizer.json
