Text Classification
Transformers
Safetensors
English
longformer
feature-extraction
claim-selection
scientific-text
custom-code
Eval Results (legacy)
Instructions to use danielscottsmith/schlaims-claim-selector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielscottsmith/schlaims-claim-selector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danielscottsmith/schlaims-claim-selector")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("danielscottsmith/schlaims-claim-selector") model = AutoModel.from_pretrained("danielscottsmith/schlaims-claim-selector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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