Instructions to use EMBEDDIA/finest-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBEDDIA/finest-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EMBEDDIA/finest-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/finest-bert") model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/finest-bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
346bd07
1
Parent(s): 8185d3b
Added tokenizer config so the tokenizer correctly loads as cased.
Browse files- tokenizer_config.json +4 -0
tokenizer_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_lower_case": false,
|
| 3 |
+
"max_len": 512
|
| 4 |
+
}
|