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:
- 8eb8ccb8363e05ce9dd655449ce23b13ce73c1e76092712670e3389cde86f032
- Size of remote file:
- 4.22 GB
- SHA256:
- fb731c1d153311587c35ce6df33c43e11b19a752d5ee3abe9bc37742e577bd6b
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