Instructions to use ianMconversica/autonlp-test-654919306 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ianMconversica/autonlp-test-654919306 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ianMconversica/autonlp-test-654919306") model = AutoModelForSeq2SeqLM.from_pretrained("ianMconversica/autonlp-test-654919306", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Error:"tags" must be an array
Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 654919306
- CO2 Emissions (in grams): 0.7013851565380207
Validation Metrics
- Loss: 2.5570242404937744
- Rouge1: 72.7273
- Rouge2: 44.4444
- RougeL: 72.7273
- RougeLsum: 72.7273
- Gen Len: 17.0
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 AutoNLP"}' https://huggingface.co/static-proxy/api-inference.huggingface.co/McIan91/autonlp-test-654919306
- Downloads last month
- 11
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support