Instructions to use nikchar/claim_detection_squeezebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikchar/claim_detection_squeezebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikchar/claim_detection_squeezebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikchar/claim_detection_squeezebert") model = AutoModelForSequenceClassification.from_pretrained("nikchar/claim_detection_squeezebert") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
d79f2bb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3eddde75fd2d3d04c04fbc776d48a79eb8d3af57fb886b9b958908406a91d220
size 204452977
|