Zero-Shot Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
scientific-papers
classification
field-of-science
taxonomy
research-classification
science-of-science
Instructions to use maximerivest/paper-classifier-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maximerivest/paper-classifier-0.8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="maximerivest/paper-classifier-0.8B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("maximerivest/paper-classifier-0.8B") model = AutoModelForCausalLM.from_pretrained("maximerivest/paper-classifier-0.8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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