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-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maximerivest/paper-classifier-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="maximerivest/paper-classifier-2B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("maximerivest/paper-classifier-2B") model = AutoModelForCausalLM.from_pretrained("maximerivest/paper-classifier-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 115 Bytes
2ae7d29 | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"eos_token_id": 248044,
"transformers_version": "5.3.0",
"use_cache": true
}
|