Instructions to use TurkuNLP/eccobert-base-cased-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/eccobert-base-cased-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("TurkuNLP/eccobert-base-cased-v1") model = AutoModelForPreTraining.from_pretrained("TurkuNLP/eccobert-base-cased-v1") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
A pretrained BERT model trained exclusively on the ECCO (Eighteenth Century Collections Online) dataset of digitized documents published during the 18th century in the United Kingdom. The model is equivalent in size to [bert-base-cased](https://huggingface.co/bert-base-cased). The model is intended for fine-tuning on various tasks that use the ECCO dataset.
|
| 2 |
|
| 3 |
Documentation in progress...
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language: en
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# ECCO-BERT base model (cased)
|
| 6 |
+
|
| 7 |
A pretrained BERT model trained exclusively on the ECCO (Eighteenth Century Collections Online) dataset of digitized documents published during the 18th century in the United Kingdom. The model is equivalent in size to [bert-base-cased](https://huggingface.co/bert-base-cased). The model is intended for fine-tuning on various tasks that use the ECCO dataset.
|
| 8 |
|
| 9 |
Documentation in progress...
|