# 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")Quick Links
Configuration Parsing Warning:Config file config.json cannot be fetched (too big)
Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)
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
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# Gated model: Login with a HF token with gated access permission hf auth login