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)# 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) - Notebooks
- Google Colab
- Kaggle
Relicense weights to Apache 2.0
Browse files
README.md
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
license:
|
| 3 |
library_name: transformers
|
| 4 |
pipeline_tag: token-classification
|
| 5 |
tags:
|
|
@@ -110,4 +110,4 @@ Pulpie builds directly on the work of the MinerU-HTML and Dripper team (Ma et al
|
|
| 110 |
}
|
| 111 |
```
|
| 112 |
|
| 113 |
-
Built by [Feyn](https://usefeyn.com). Model weights
|
|
|
|
| 1 |
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
library_name: transformers
|
| 4 |
pipeline_tag: token-classification
|
| 5 |
tags:
|
|
|
|
| 110 |
}
|
| 111 |
```
|
| 112 |
|
| 113 |
+
Built by [Feyn](https://usefeyn.com). Model weights and the [pulpie](https://pypi.org/project/pulpie/) library are licensed under Apache 2.0.
|