BPE-knockout
Collection
Models trained for the BPE-knockout paper. โข 3 items โข Updated
How to use Bauwens/RoBERTa-nl_BPE_30k_BPE-knockout_9k with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="Bauwens/RoBERTa-nl_BPE_30k_BPE-knockout_9k") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Bauwens/RoBERTa-nl_BPE_30k_BPE-knockout_9k")
model = AutoModelForMaskedLM.from_pretrained("Bauwens/RoBERTa-nl_BPE_30k_BPE-knockout_9k", device_map="auto")To load the tokeniser for this model, do not use AutoTokenizer. Instead, install TkTkT and run:
from tktkt.models.bpe.knockout import BPEKnockout
tokenizer = BPEKnockout.from_pretrained("Bauwens/RoBERTa-nl_BPE_30k_BPE-knockout_9k")