Zero-Shot Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
scientific-papers
taxonomy
classification
science-of-science
probabilities
qwen3_5
Instructions to use maximerivest/paper-classifier-2B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maximerivest/paper-classifier-2B-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="maximerivest/paper-classifier-2B-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("maximerivest/paper-classifier-2B-v2") model = AutoModelForCausalLM.from_pretrained("maximerivest/paper-classifier-2B-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
7 days ago
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Release v2 list-first scientific-paper classifier, weights and inference helpers
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initial commit
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