Text Classification
Transformers
Safetensors
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use javicorvi/pretoxtm-sentence-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use javicorvi/pretoxtm-sentence-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="javicorvi/pretoxtm-sentence-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("javicorvi/pretoxtm-sentence-classifier") model = AutoModelForSequenceClassification.from_pretrained("javicorvi/pretoxtm-sentence-classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Model description
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## Training and evaluation data
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## Model description
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PretoxTM Sentence Classifier is a model trained on preclinical toxicology literature, designed to detect sentences that contain treatment-related findings.
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## Training and evaluation data
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