Summarization
Transformers
PyTorch
Safetensors
Enawené-Nawé
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use washablesoda/autotrain-vlt5-tuning-78887141104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use washablesoda/autotrain-vlt5-tuning-78887141104 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="washablesoda/autotrain-vlt5-tuning-78887141104")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("washablesoda/autotrain-vlt5-tuning-78887141104") model = AutoModelForMultimodalLM.from_pretrained("washablesoda/autotrain-vlt5-tuning-78887141104") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 78887141104
- CO2 Emissions (in grams): 2.0202
Validation Metrics
- Loss: 1.809
- Rouge1: 27.520
- Rouge2: 15.114
- RougeL: 26.427
- RougeLsum: 26.385
- Gen Len: 15.816
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/washablesoda/autotrain-vlt5-tuning-78887141104
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