Text Classification
Transformers
Safetensors
distilbert
huggingface
fine-tuned
English
text-embeddings-inference
Instructions to use khojoii/finetuned_distilbert_Medical_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khojoii/finetuned_distilbert_Medical_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khojoii/finetuned_distilbert_Medical_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khojoii/finetuned_distilbert_Medical_Model") model = AutoModelForSequenceClassification.from_pretrained("khojoii/finetuned_distilbert_Medical_Model") - Notebooks
- Google Colab
- Kaggle
Model Card for khojoii/text-classification-distilbert-fa
This is a fine-tuned DistilBERT model for binary text classification on a English-language dataset. The model was trained using the Hugging Face Trainer API and the transformers library.
Model Details
Model Description
This model is based on a pre-trained distilbert-base-multilingual-cased architecture and was fine-tuned on a custom English-language dataset for binary classification tasks (e.g., sentiment analysis or spam detection).
- Developed by: Khojoii
- Model type: Transformer - DistilBERT
- Language(s): English
- License: free to use and change
Uses
Direct Use
This model can be directly used for inference on English text classification tasks. It takes in a English sentence and returns one of two classes.
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