Instructions to use Jonnylaw/flan-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jonnylaw/flan-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jonnylaw/flan-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("Jonnylaw/flan-t5-large") - Notebooks
- Google Colab
- Kaggle
Quick Links
Flan-T5 large, trained to a lot of tasks.
Validation Metrics
- Loss: 1.344
- Rouge1: 62.583
- Rouge2: 52.337
- RougeL: 59.779
- RougeLsum: 60.437
- Gen Len: 15.639
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/Jonnylaw/autotrain-flan-t5-tunned-3016686642
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jonnylaw/flan-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("Jonnylaw/flan-t5-large")