Instructions to use RoshanAdhithya/bart-3-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RoshanAdhithya/bart-3-final 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="RoshanAdhithya/bart-3-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RoshanAdhithya/bart-3-final") model = AutoModelForSeq2SeqLM.from_pretrained("RoshanAdhithya/bart-3-final") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 53834126679
- CO2 Emissions (in grams): 0.2719
Validation Metrics
- Loss: 0.543
- Rouge1: 83.020
- Rouge2: 77.026
- RougeL: 82.016
- RougeLsum: 82.019
- Gen Len: 19.029
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/RoshanAdhithya/autotrain-bart-3-53834126679
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