Token Classification
Transformers
Safetensors
English
eurobert
html
content-extraction
web-scraping
boilerplate-removal
encoder
rag
custom_code
Instructions to use feyninc/pulpie-orange-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feyninc/pulpie-orange-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="feyninc/pulpie-orange-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("feyninc/pulpie-orange-base", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("feyninc/pulpie-orange-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from feyninc/pulpie-orange-base: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/feyninc/pulpie-orange-base/resolve/main/training_args.bin
- Command line
-
hf download hf://feyninc/pulpie-orange-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/feyninc/pulpie-orange-base/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 73bce34b4a496a004c9e251c3474bfc686e2434889471450f3e2ae8cdc7f7e1a
- Size of remote file:
- 5.97 kB
- SHA256:
- 0a0d57a3898a14c7f4f11086ada34fbe10c92a07bb7a108d777294c30f56e8b2
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