Instructions to use qf-iquest/ChampionCheckpoint-Deploy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qf-iquest/ChampionCheckpoint-Deploy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="qf-iquest/ChampionCheckpoint-Deploy")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("qf-iquest/ChampionCheckpoint-Deploy") model = AutoModel.from_pretrained("qf-iquest/ChampionCheckpoint-Deploy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 66 Bytes
966f9b4 | 1 2 3 4 | {
"model_type": "bert",
"architectures": ["BertModel"]
} |