# Automatic Speech Recognition

### faster-whisper-large-v3-ca-3catparla

* Model: [projecte-aina/faster-whisper-large-v3-ca-3catparla](https://huggingface.co/projecte-aina/faster-whisper-large-v3-ca-3catparla)&#x20;
* Inference: [https://l9w4uzm374uyn9xk.us-east-1.aws.endpoints.huggingface.cloud](https://l9w4uzm374uyn9xk.us-east-1.aws.endpoints.huggingface.cloud)&#x20;
* GPU: T4
* How to use it: [Notebook for using Faster Whisper](https://colab.research.google.com/drive/1v_3m1aR9CwYXgPVBlhwDI9Hz4V5Dlh95?usp=sharing)

### STT Ca Citrinet 512

* Model: [projecte-aina/stt-ca-citrinet-512](https://huggingface.co/projecte-aina/stt-ca-citrinet-512)&#x20;
* Inference: [https://h3xisjmpemyv68l1.us-east-1.aws.endpoints.huggingface.cloud](https://h3xisjmpemyv68l1.us-east-1.aws.endpoints.huggingface.cloud)&#x20;
* GPU: T4

### whisper-large-v3-ca-3catparla

* Model: [whisper-large-v3-ca-3cat parla](https://huggingface.co/projecte-aina/whisper-large-v3-ca-3catparla)&#x20;
* Inference: [https://ddb95svxi9vs16zy.us-east-1.aws.endpoints.huggingface.cloud](https://ddb95svxi9vs16zy.us-east-1.aws.endpoints.huggingface.cloud)
* GPU: T4

**ASR APIs**

* How to use it: [Notebook for using whisper ](https://colab.research.google.com/drive/1MHiPrffNTwiyWeUyMQvSdSbfkef_8aJC?usp=sharing)

**whisper-large-v3-ca-3catparla endpoint**

{% code title="example.py" %}
```python
import requests

API_URL = "https://ddb95svxi9vs16zy.us-east-1.aws.endpoints.huggingface.cloud"
headers = {
   "Accept": "application/json",
   "Authorization": "Bearer <hf_token>",
   "Content-Type": "audio/wav",
}


def query(filename):
   with open(filename, "rb") as f:
       data = f.read()
   response = requests.post(API_URL, headers=headers, data=data)
   return response.json()

output = query("sample1.wav")
```
{% endcode %}

#### faster-whisper endpoint&#x20;

Python

{% code title="example.py" %}
```python
import requests
API_URL = "https://l9w4uzm374uyn9xk.us-east-1.aws.endpoints.huggingface.cloud"
headers = {
  "Accept": "application/json",
  "Authorization": "Bearer HF_token",
  "Content-Type": "audio/wav",
}
def query(filename):
  with open(filename, "rb") as f:
      data = f.read()
  response = requests.post(API_URL, headers=headers, data=data)
  return response.json()
output = query("sample1.wav")
```
{% endcode %}

Curl

{% code title="bash" %}
```bash
curl "https://l9w4uzm374uyn9xk.us-east-1.aws.endpoints.huggingface.cloud/" \
-X POST \
--data-binary '@sample1.flac' \
-H "Accept: application/json" \
-H "Authorization: Bearer hf_XXXXX" \
-H "Content-Type: audio/flac" \// Some code
```
{% endcode %}



**Citrinet endpoint**

Python

{% code title="example.py" %}
```python
import requests

API_URL = "https://h3xisjmpemyv68l1.us-east-1.aws.endpoints.huggingface.cloud/"
headers = {
   "Accept" : "application/json",
   "Authorization": "Bearer hf_xxxx",
   "Content-Type": "audio/wav"
}

def query(filename):
   with open(filename, "rb") as f:
       data = f.read()
   response = requests.post(API_URL, headers=headers, data=data)
   return response.json()

output = query("sample.wav")
print(output)
```
{% endcode %}



Possible issues with endpoints:

_HTTP/1.1 401 Unauthorized:_ The Hugging Face token was not specified, or the token is invalid. Copy the token code and replace it where \<hf\_token> in the headers

&#x20;_HTTP/1.1 503:_ The service is unavailable. Occurs when the endpoint is initializing, as it is not active all the time. Try the same request again.

