Instructions to use dusersad12/TextClassifier-BestRun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/TextClassifier-BestRun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/TextClassifier-BestRun")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusersad12/TextClassifier-BestRun") model = AutoModelForSequenceClassification.from_pretrained("dusersad12/TextClassifier-BestRun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
3967fdf | 1 2 3 4 5 6 | {
"model_type": "bert",
"architectures": ["BertForSequenceClassification"],
"num_labels": 5,
"run_id": "run-def456"
} |