Instructions to use llangnickel/long-covid-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llangnickel/long-covid-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="llangnickel/long-covid-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("llangnickel/long-covid-classification") model = AutoModelForSequenceClassification.from_pretrained("llangnickel/long-covid-classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Librarian Bot: Update dataset YAML metadata for model
#1 opened about 3 years ago
by
librarian-bot