tgsc commited on
Commit
d895a9d
·
1 Parent(s): 9f0848f

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -8
README.md CHANGED
@@ -25,8 +25,8 @@ DeBERTina é um modelo [DeBERTa-v3](https://arxiv.org/abs/2111.09543) em portugu
25
  | :-: | :-: | :-: | :-: |
26
  | [ult5-pt-small](https://huggingface.co/tgsc/ult5-pt-small) | encoder-decoder | 65k |82.4M |
27
  | [sentence-transformer-ult5-pt-small](https://huggingface.co/tgsc/sentence-transformer-ult5-pt-small) | sentence-transformer | 65k | 51M |
28
- | [DeBERTina-base](https://huggingface.co/tgsc/debertina-base) | encoder | 32k | 100M |
29
- | [DeBERTina-xsmall](https://huggingface.co/tgsc/debertina-xsmall) | encoder | 128k | 70M |
30
 
31
  - **Developed by:** Thacio Garcia Scandaroli
32
  - **Model type:** DeBERTa-v3
@@ -57,13 +57,9 @@ predições do gerador, e o discriminador é treinado de forma a identificar qua
57
 
58
  ## Fine-tunning
59
 
60
- O fine-tunning é feito com o discriminador.
61
 
62
- Para carregar o modelo para classificações:
63
-
64
- *Fine-tunning should be done with the discrimnator.*
65
-
66
- *Loading the model for classification:*
67
 
68
  ```python
69
  from transformers import AutoModelForSequenceClassification
 
25
  | :-: | :-: | :-: | :-: |
26
  | [ult5-pt-small](https://huggingface.co/tgsc/ult5-pt-small) | encoder-decoder | 65k |82.4M |
27
  | [sentence-transformer-ult5-pt-small](https://huggingface.co/tgsc/sentence-transformer-ult5-pt-small) | sentence-transformer | 65k | 51M |
28
+ | [DeBERTina-base](https://huggingface.co/tgsc/debertina-base) | encoder | 32k | 85.5M backbone + 24.6M embeddings = 110M |
29
+ | [DeBERTina-xsmall](https://huggingface.co/tgsc/debertina-xsmall) | encoder | 128k | 22M backbone + 49.1M embeddings = 71M |
30
 
31
  - **Developed by:** Thacio Garcia Scandaroli
32
  - **Model type:** DeBERTa-v3
 
57
 
58
  ## Fine-tunning
59
 
60
+ O fine-tunning é feito com o discriminador. Para carregar o modelo para classificações:
61
 
62
+ *Fine-tunning should be done with the discrimnator. Loading the model for classification:*
 
 
 
 
63
 
64
  ```python
65
  from transformers import AutoModelForSequenceClassification