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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add commercial-licensing contact
Browse files
README.md
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Built by [Feyn](https://usefeyn.com). Model weights licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) (non-commercial). The [pulpie](https://pypi.org/project/pulpie/) library is Apache 2.0.
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Built by [Feyn](https://usefeyn.com). Model weights licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) (non-commercial); contact team@usefeyn.com for commercial licensing. The [pulpie](https://pypi.org/project/pulpie/) library is Apache 2.0.
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