Token Classification
Transformers
Safetensors
ONNX
English
bert
clinical-nlp
named-entity-recognition
ner
biomedical
knowledge-distillation
phi-detection
quantization
Eval Results (legacy)
Instructions to use SantoshAdabala/ClinicalFlamo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SantoshAdabala/ClinicalFlamo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SantoshAdabala/ClinicalFlamo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SantoshAdabala/ClinicalFlamo") model = AutoModelForTokenClassification.from_pretrained("SantoshAdabala/ClinicalFlamo") - Notebooks
- Google Colab
- Kaggle
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