Instructions to use lytang/MiniCheck-Flan-T5-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lytang/MiniCheck-Flan-T5-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lytang/MiniCheck-Flan-T5-Large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lytang/MiniCheck-Flan-T5-Large") model = AutoModelForSeq2SeqLM.from_pretrained("lytang/MiniCheck-Flan-T5-Large") - Notebooks
- Google Colab
- Kaggle
| torch==2.1.0 | |
| transformers>=4.34.0 | |
| nltk==3.8.1 | |
| pandas==2.2.1 | |
| numpy==1.26.2 | |
| tqdm | |
| bs4 | |
| rouge-score | |
| evaluate | |
| spacy |