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
Update README.md
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README.md
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model-index:
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- name: section-classifier-imrad
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 5.3.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.6.1
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- Tokenizers 0.22.2
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model-index:
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- name: section-classifier-imrad
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results: []
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datasets:
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- saier/unarXive_imrad_clf
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 5.3.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.6.1
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- Tokenizers 0.22.2
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