# 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="PoseyATX/FoxHunterSwift")# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("PoseyATX/FoxHunterSwift")
model = AutoModelForSeq2SeqLM.from_pretrained("PoseyATX/FoxHunterSwift")Quick Links
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 3404193254
- CO2 Emissions (in grams): 17.3816
Validation Metrics
- Loss: 1.474
- Rouge1: 51.350
- Rouge2: 35.676
- RougeL: 44.037
- RougeLsum: 45.017
- Gen Len: 81.850
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/PoseyATX/autotrain-again-3404193254
- Downloads last month
- -
# Gated model: Login with a HF token with gated access permission hf auth login