Instructions to use dejanseo/LinkBERT-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanseo/LinkBERT-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dejanseo/LinkBERT-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dejanseo/LinkBERT-mini") model = AutoModelForMaskedLM.from_pretrained("dejanseo/LinkBERT-mini") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,6 +5,7 @@ license: other
|
|
| 5 |
license_name: link-attribution
|
| 6 |
license_link: https://dejanmarketing.com/link-attribution/
|
| 7 |
pipeline_tag: token-classification
|
|
|
|
| 8 |
widget:
|
| 9 |
- text: >-
|
| 10 |
LinkBERT is an advanced fine-tuned version of the albert-base-v2 model
|
|
|
|
| 5 |
license_name: link-attribution
|
| 6 |
license_link: https://dejanmarketing.com/link-attribution/
|
| 7 |
pipeline_tag: token-classification
|
| 8 |
+
base_model: albert-base-v2
|
| 9 |
widget:
|
| 10 |
- text: >-
|
| 11 |
LinkBERT is an advanced fine-tuned version of the albert-base-v2 model
|