Token Classification
Transformers
Safetensors
English
eurobert
html
content-extraction
web-scraping
boilerplate-removal
encoder
rag
custom_code
Instructions to use feyninc/pulpie-orange-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feyninc/pulpie-orange-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="feyninc/pulpie-orange-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("feyninc/pulpie-orange-base", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("feyninc/pulpie-orange-base", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce9c13483fed5c8272cba46fc7a093a8a1a55f6299d05299afa442f6f69441ee
- Size of remote file:
- 17.2 MB
- SHA256:
- d807a071da4bbd8144b0206722ec9f87dd91209f4526933d88448a1c88b922c9
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