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