Instructions to use abdalrahmanshahrour/anchored-ant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdalrahmanshahrour/anchored-ant 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="abdalrahmanshahrour/anchored-ant")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abdalrahmanshahrour/anchored-ant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - autotrain | |
| - summarization | |
| language: | |
| - ar | |
| widget: | |
| - text: "I love AutoTrain 🤗" | |
| datasets: | |
| - abdalrahmanshahrour/autotrain-data-shahroursummarizer | |
| co2_eq_emissions: | |
| emissions: 69.23178007707939 | |
| # Model Trained Using AutoTrain | |
| - Problem type: Summarization | |
| - Model ID: 2306372987 | |
| - CO2 Emissions (in grams): 69.2318 | |
| ## Validation Metrics | |
| - Loss: 0.157 | |
| - Rouge1: 6.909 | |
| - Rouge2: 2.441 | |
| - RougeL: 6.904 | |
| - RougeLsum: 7.047 | |
| - Gen Len: 19.000 | |
| ## 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/abdalrahmanshahrour/autotrain-shahroursummarizer-2306372987 | |
| ``` |