Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use trentmkelly/autotrain-roblox-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trentmkelly/autotrain-roblox-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trentmkelly/autotrain-roblox-10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trentmkelly/autotrain-roblox-10") model = AutoModelForSequenceClassification.from_pretrained("trentmkelly/autotrain-roblox-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 397 Bytes
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---
library_name: transformers
tags:
- autotrain
- text-classification
base_model: thenlper/gte-base
widget:
- text: "I love AutoTrain"
---
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.40960419178009033
f1: 0.8074766355140187
precision: 0.779783393501805
recall: 0.8372093023255814
auc: 0.8871317829457365
accuracy: 0.8067542213883677
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