Update README.md
Browse files
README.md
CHANGED
@@ -2688,22 +2688,6 @@ embeddings = F.normalize(embeddings, p=2, dim=1)
|
|
2688 |
|
2689 |
You can use Jina Embedding models directly from transformers package.
|
2690 |
|
2691 |
-
First, you need to make sure that you are logged into huggingface. You can either use the huggingface-cli tool (after installing the `transformers` package) and pass your [hugginface access token](https://huggingface.co/docs/hub/security-tokens):
|
2692 |
-
```bash
|
2693 |
-
huggingface-cli login
|
2694 |
-
```
|
2695 |
-
Alternatively, you can provide the access token as an environment variable in the shell:
|
2696 |
-
```bash
|
2697 |
-
export HF_TOKEN="<your token here>"
|
2698 |
-
```
|
2699 |
-
or in Python:
|
2700 |
-
```python
|
2701 |
-
import os
|
2702 |
-
|
2703 |
-
os.environ['HF_TOKEN'] = "<your token here>"
|
2704 |
-
```
|
2705 |
-
|
2706 |
-
Then, you can use load and use the model via the `AutoModel` class:
|
2707 |
```python
|
2708 |
!pip install transformers
|
2709 |
from transformers import AutoModel
|
|
|
2688 |
|
2689 |
You can use Jina Embedding models directly from transformers package.
|
2690 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2691 |
```python
|
2692 |
!pip install transformers
|
2693 |
from transformers import AutoModel
|