Instructions to use scy99/autotrain-hello_summarization-3171289572 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scy99/autotrain-hello_summarization-3171289572 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="scy99/autotrain-hello_summarization-3171289572")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("scy99/autotrain-hello_summarization-3171289572") model = AutoModelForSeq2SeqLM.from_pretrained("scy99/autotrain-hello_summarization-3171289572", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 3171289572
- CO2 Emissions (in grams): 25.5353
Validation Metrics
- Loss: 3.536
- Rouge1: 38.529
- Rouge2: 6.769
- RougeL: 38.154
- RougeLsum: 37.958
- Gen Len: 18.864
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/scy99/autotrain-hello_summarization-3171289572
- Downloads last month
- 3