Instructions to use jimregan/BERTreach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimregan/BERTreach with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jimregan/BERTreach")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jimregan/BERTreach") model = AutoModelForMaskedLM.from_pretrained("jimregan/BERTreach") - Notebooks
- Google Colab
- Kaggle
BERTreach
(beirtreach means 'oyster bed')
Model size: 84M
Training data:
- PARSEME 1.2
- Newscrawl 300k portion of the Leipzig Corpora
- Private news corpus crawled with Corpus Crawler
(2125804 sentences, 47419062 tokens, as reckoned by wc)
from transformers import pipeline
fill_mask = pipeline("fill-mask", model="jimregan/BERTreach", tokenizer="jimregan/BERTreach")
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