Instructions to use andreas122001/bloomz-3b-wiki-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/bloomz-3b-wiki-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/bloomz-3b-wiki-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/bloomz-3b-wiki-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/bloomz-3b-wiki-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
80764b4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a13f46516b66c4a30669d7ac24fe7bf8db7c77d8fae3472699544306334faf9d
size 3451
|