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:
- c6a1c671058ae2f576e03e4d00b8072fff2f870f6c0d62cc61ba07272441026f
- Size of remote file:
- 5.97 kB
- SHA256:
- 527c76c5d63516109eab544e2d329b3f74ae9d804f15cfd42e1b04482c8d4cfe
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