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ClinicalHistoryModel
IkbeneenEric/ClinicalHistoryModel
ClinicalHistoryModel is a text classification model from IkbeneenEric. Use it when you need a label for a piece of text. The card lists the license as mit.
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 9, 2024
- Updated
- Aug 13, 2024
- SHA
- 1e0e7fdc
Try a prompt
Model card
From the Hugging Face model README
How to use model with torch:
# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Load the model
model = AutoModel.from_pretrained(model_name)
How to use it on example text:
# Example input
text = "Hello, how are you?"
# Tokenize the input
inputs = tokenizer(text, return_tensors="pt")
# Forward pass through the model
outputs = model(**inputs)
- Task
- Text Classification
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Aug 9, 2024
- Updated
- Aug 13, 2024