Token Classification
Transformers
Safetensors
English
eurobert
html
content-extraction
web-scraping
boilerplate-removal
encoder
rag
custom_code
Instructions to use feyninc/pulpie-orange-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feyninc/pulpie-orange-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="feyninc/pulpie-orange-large", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("feyninc/pulpie-orange-large", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("feyninc/pulpie-orange-large", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 609d53395a78caaf42c60d6361c7dd7764e80c334f877ecbe0880870ae6817d2
- Size of remote file:
- 17.2 MB
- SHA256:
- ac937a7196d6478560177ef48c07fdd1966cb6f1520ea1c3e5f8e8be8cee0a40
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