Instructions to use dusersad12/BestCheckpoint-Demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/BestCheckpoint-Demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/BestCheckpoint-Demo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusersad12/BestCheckpoint-Demo") model = AutoModelForSequenceClassification.from_pretrained("dusersad12/BestCheckpoint-Demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 86 Bytes
e8eab42 | 1 2 3 4 | {
"model_type": "roberta",
"architectures": ["RobertaForSequenceClassification"]
} |