Instructions to use parse-boyz/bert-large-uncased-retrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parse-boyz/bert-large-uncased-retrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="parse-boyz/bert-large-uncased-retrained")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("parse-boyz/bert-large-uncased-retrained") model = AutoModelForTokenClassification.from_pretrained("parse-boyz/bert-large-uncased-retrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("parse-boyz/bert-large-uncased-retrained")
model = AutoModelForTokenClassification.from_pretrained("parse-boyz/bert-large-uncased-retrained", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="parse-boyz/bert-large-uncased-retrained")