How to use SeppeV/bert_340M_ft_first_1000_pref with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SeppeV/bert_340M_ft_first_1000_pref")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SeppeV/bert_340M_ft_first_1000_pref") model = AutoModelForSequenceClassification.from_pretrained("SeppeV/bert_340M_ft_first_1000_pref", device_map="auto")
https://huggingface.co/SeppeV/bert_340M_ft_first_1000_pref/resolve/main/tokenizer.json
hf download hf://SeppeV/bert_340M_ft_first_1000_pref/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/SeppeV/bert_340M_ft_first_1000_pref/resolve/main/tokenizer.json
