Instructions to use nlpaueb/sec-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpaueb/sec-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpaueb/sec-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("nlpaueb/sec-bert-base") model = AutoModelForPreTraining.from_pretrained("nlpaueb/sec-bert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
SECPullTest
#3 opened 7 months ago
by
balaszone
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Summarization
#1 opened over 3 years ago
by
asadcr