Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use MarioPenguin/finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarioPenguin/finetuned-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MarioPenguin/finetuned-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MarioPenguin/finetuned-model") model = AutoModelForSequenceClassification.from_pretrained("MarioPenguin/finetuned-model") - Notebooks
- Google Colab
- Kaggle
Commit ·
b3d01e3
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Parent(s): eb4768a
finetuned-model
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pytorch_model.bin
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runs/Jan28_15-42-50_f4b0311572b9/events.out.tfevents.1643384823.f4b0311572b9.72.0
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