Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use lostelf/section-classifier-imrad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lostelf/section-classifier-imrad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lostelf/section-classifier-imrad")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lostelf/section-classifier-imrad") model = AutoModelForSequenceClassification.from_pretrained("lostelf/section-classifier-imrad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 768517c8247682af5ebe90944177f14d3fd11eb71f941c20b166130ddcb51bf6
- Size of remote file:
- 268 MB
- SHA256:
- 89b332b95d2eb5950bf345df22ce364d3828484934cc80dd19139c3fd03d9379
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.