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
Commit ·
0917dec
1
Parent(s): d914996
Librarian Bot: Update dataset YAML metadata for model
Browse filesThis is a pull request to add a dataset, [`llangnickel/long-covid-classification-data`](https://huggingface.co/datasets/llangnickel/long-covid-classification-data), to the metadata for your model (defined in the `YAML` block of your model's `README.md`).
The pull request was made by [librarian-bot](https://huggingface.co/librarian-bot) and used a combination of rules and/or machine learning to suggest this additional metadata.
If this suggestion is incorrect, feel free to close this pull request.
Librarian Bot was made by [@davanstrien](https://huggingface.co/davanstrien); feel free to get in touch with feedback.