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
File size: 134 Bytes
12f8ad3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:26ff46f8f62a152d2fc2b5716eba17391531a802eb0512873f189094fb24214d
size 433328557
|