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:
- e1e6d704b3a4416ff3370cf3fc07024554d1c51a2f8c6d65d71d50f08ac875e8
- Size of remote file:
- 112 kB
- SHA256:
- 98ef9bd59a98ad6fdd690e311ea7faaba65fe408317e313c7d7bbf22d7a2835d
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