Instructions to use ronaldahmed/ccl_win-plos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronaldahmed/ccl_win-plos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ronaldahmed/ccl_win-plos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ronaldahmed/ccl_win-plos") model = AutoModelForSequenceClassification.from_pretrained("ronaldahmed/ccl_win-plos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
8da8315 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a1115915608f02c93e012ec5746c65be06c2b6d8ee5f88d3dba5ffb1c8fa203
size 1421584365
|