institutional/institutional-books-hl
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How to use pnadel/palimpsestBERT with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="pnadel/palimpsestBERT") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("pnadel/palimpsestBERT")
model = AutoModelForMaskedLM.from_pretrained("pnadel/palimpsestBERT", device_map="auto")BERT-base continued-pretrained from GreekBERT (nlpaueb/bert-base-greek-uncased-v1)
on a new Ancient Greek corpus derived from the Harvard institutional-books
collection.
| TAG | POS | MORPH | LEMMA | UAS | LAS | SENT_F |
|---|---|---|---|---|---|---|
| 98.66 | 98.64 | 94.95 | 94.40 | 87.85 | 84.47 | 74.01 |
Base model
nlpaueb/bert-base-greek-uncased-v1