Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- es
|
4 |
+
tags:
|
5 |
+
- ConvBERT
|
6 |
+
license: mit
|
7 |
+
datasets:
|
8 |
+
- large_spanish_corpus
|
9 |
+
---
|
10 |
+
|
11 |
+
# ConvBERT
|
12 |
+
|
13 |
+
## Model Description
|
14 |
+
|
15 |
+
ConvBERT base pre-trained on large_spanish_corpus. The ConvBERT architecture has been presented in the ["ConvBERT: Improving BERT with Span-based Dynamic Convolution"](https://arxiv.org/abs/2008.02496) paper.
|
16 |
+
|
17 |
+
## Original implementation
|
18 |
+
|
19 |
+
Follow [this link](https://huggingface.co/mrm8488/convbert-base-spanish) to see the original implementation.
|
20 |
+
|
21 |
+
# How to use
|
22 |
+
|
23 |
+
Download the model by cloning the repository via:
|
24 |
+
|
25 |
+
```bash
|
26 |
+
git clone https://huggingface.co/OWG/gpt-j-6B
|
27 |
+
```
|
28 |
+
|
29 |
+
Then you can use the model. Because it's a base model it can be fine-tuned on your specific task, depending on your needs.
|