Text Classification
Transformers
TensorBoard
Safetensors
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use varadsrivastava/mpnet_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varadsrivastava/mpnet_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="varadsrivastava/mpnet_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("varadsrivastava/mpnet_finetuned") model = AutoModelForSequenceClassification.from_pretrained("varadsrivastava/mpnet_finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ceb4a418cfcfc3893c9bf6e40e1c48121441418a2e1df9f85e6a15955482d1c
- Size of remote file:
- 4.92 kB
- SHA256:
- cf48579da50690ec1b8cf78bc19ff1320843d0a633d1c6373b26e1a7b17cab25
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