Feature Extraction
Transformers
Safetensors
English
bert
token-classification
text-embeddings-inference
Instructions to use noystl/scibert_token_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noystl/scibert_token_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="noystl/scibert_token_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("noystl/scibert_token_classifier") model = AutoModelForTokenClassification.from_pretrained("noystl/scibert_token_classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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* `max_steps`: 500
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* `weight_decay`: 0.1
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* `learning_rate`: 6.e-5
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* `warmup_ratio`: 0.1
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**Bibtex**
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```bibtex
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* `max_steps`: 500
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* `weight_decay`: 0.1
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* `learning_rate`: 6.e-5
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**Bibtex**
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```bibtex
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