Instructions to use and111/bert_base_uncased_for_pretraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use and111/bert_base_uncased_for_pretraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("and111/bert_base_uncased_for_pretraining") model = AutoModelForPreTraining.from_pretrained("and111/bert_base_uncased_for_pretraining") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Update dataset YAML metadata for model
#1
by librarian-bot - opened
README.md
CHANGED
|
@@ -1 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
| 1 |
https://huggingface.co/bert-base-uncased model pre-trained on dataset https://huggingface.co/datasets/and111/bert_pretrain_phase2 until loss reached 1.96.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
datasets: and111/bert_pretrain_phase2
|
| 3 |
+
---
|
| 4 |
https://huggingface.co/bert-base-uncased model pre-trained on dataset https://huggingface.co/datasets/and111/bert_pretrain_phase2 until loss reached 1.96.
|