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
| 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 | |