Instructions to use petra345/MyAwesomeModel-BalancedGate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/MyAwesomeModel-BalancedGate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="petra345/MyAwesomeModel-BalancedGate", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("petra345/MyAwesomeModel-BalancedGate") model = AutoModelForSequenceClassification.from_pretrained("petra345/MyAwesomeModel-BalancedGate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "bert", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "candidate_id": "cobalt_0510", | |
| "training_step": 510, | |
| "release_track": "balanced-gate" | |
| } | |