Token Classification
Transformers
Safetensors
English
eurobert
html
content-extraction
web-scraping
boilerplate-removal
encoder
rag
custom_code
Instructions to use feyninc/pulpie-orange-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feyninc/pulpie-orange-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="feyninc/pulpie-orange-small", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("feyninc/pulpie-orange-small", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("feyninc/pulpie-orange-small", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40826008d3b1bb242d292511dc87b19323c93c454135ba541e626db1c0674552
- Size of remote file:
- 424 MB
- SHA256:
- 8208707791da7301cdb0292b1f65611bc1aeff852437f2a6188a54b432043805
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