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:
- 0f592a1e0dd5d8910636914b6f018fcc25a62670de5b3c0cb061748b0bdfdfc4
- Size of remote file:
- 1.22 GB
- SHA256:
- bcb90fd2d6e9f1266c7f6ca5268e246bec3fb26ec85fd6a2d5ccf418b9f803ea
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