Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 94046145981
- CO2 Emissions (in grams): 4.5351
Validation Metrics
- Loss: 1.876
- Rouge1: 45.886
- Rouge2: 18.852
- RougeL: 27.850
- RougeLsum: 40.554
- Gen Len: 104.307
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/sudeepshouche/autotrain-sushi-94046145981
Or try this python code:
class TextSummarizer:
def __init__(self):
self.api_token = <HF_TOKEN>
self.model = "sudeepshouche/autotrain-sushi-94046145981"
def summarize(self, content):
api_url = f"https://api-inference.huggingface.co/models/{self.model}"
headers = {"Authorization": f"Bearer {self.api_token}"}
payload = {"inputs": content}
try:
response = requests.post(api_url, headers=headers, json=payload)
response.raise_for_status()
return response.json()
except requests.RequestException as e:
print(f"Error during summarization: {e}")
# logging.error(f"Error during summarization: {e}")
return [{'summary_text': content}]
content = <CONTENT_TO_SUMMARIZE>
output = TextSummarizer().summarize(content)
print (output[0]["summary_text"] )
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.