Text Classification
Transformers
Safetensors
bert
quantization
fine-tuning
text-embeddings-inference
Instructions to use AshutoshAdhikari/rsclf-scibert-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AshutoshAdhikari/rsclf-scibert-improved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AshutoshAdhikari/rsclf-scibert-improved")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AshutoshAdhikari/rsclf-scibert-improved") model = AutoModelForSequenceClassification.from_pretrained("AshutoshAdhikari/rsclf-scibert-improved") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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```python
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from transformers import pipeline
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classifier = pipeline("text-classification", model="
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result = classifier("This paper introduces a novel technique for...")
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print(result)
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```python
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from transformers import pipeline
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classifier = pipeline("text-classification", model="AshutoshAdhikari/rsclf-scibert-improved")
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result = classifier("This paper introduces a novel technique for...")
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print(result)
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