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